#llms tag - Briefly

LLM-Automated Labeling, Demand Forecasting, Democratizing AI, and Choosing the Right LLM Model

Attendees at ODSC East 2025 can connect with AI innovators, learn crucial skills about AI technologies, and explore new tools at a free expo.

10 Can't-Miss ODSC East 2025 Sessions to Teach You About LLMs and AI Agents

AI is crucial for the future of software development, particularly with emerging autonomous coding agents.

Effective evaluation systems for LLMs can significantly enhance their performance and utility in applications.

Building enterprise LLM agents requires careful consideration of accuracy, safety, and scalability.

The Evolution of LLMs Through Real-Time Learning

The OpenAI o1 Model represents a major advancement in LLMs, enabling real-time learning for enhanced interactions.

A deep dive into DeepSeek's newest chain of though model

DeepSeek's new LLM R1 rivals OpenAI in reasoning capacity while being cost-effective, showcasing significant progress in AI development from China.

An introduction to fine-tuning LLMs at home with Axolotl

Fine-tuning pre-trained models allows customization but requires significant data preparation and understanding of hyperparameters.

RAG: An Introduction for Beginners | HackerNoon

Retrieval-Augmented Generation (RAG) addresses the limitations of traditional LLMs by integrating real-time information retrieval.

LLM-Automated Labeling, Demand Forecasting, Democratizing AI, and Choosing the Right LLM Model

Attendees at ODSC East 2025 can connect with AI innovators, learn crucial skills about AI technologies, and explore new tools at a free expo.

10 Can't-Miss ODSC East 2025 Sessions to Teach You About LLMs and AI Agents

AI is crucial for the future of software development, particularly with emerging autonomous coding agents.

Effective evaluation systems for LLMs can significantly enhance their performance and utility in applications.

Building enterprise LLM agents requires careful consideration of accuracy, safety, and scalability.

The Evolution of LLMs Through Real-Time Learning

The OpenAI o1 Model represents a major advancement in LLMs, enabling real-time learning for enhanced interactions.

A deep dive into DeepSeek's newest chain of though model

DeepSeek's new LLM R1 rivals OpenAI in reasoning capacity while being cost-effective, showcasing significant progress in AI development from China.

An introduction to fine-tuning LLMs at home with Axolotl

Fine-tuning pre-trained models allows customization but requires significant data preparation and understanding of hyperparameters.

RAG: An Introduction for Beginners | HackerNoon

Retrieval-Augmented Generation (RAG) addresses the limitations of traditional LLMs by integrating real-time information retrieval.

moremachine-learning

#software-development

The best AI for coding in 2025 (and what not to use - including DeepSeek R1)

ChatGPT showed surprising programming capabilities by successfully creating a WordPress plugin.

Only a few out of 14 tested LLMs can reliably code complex applications or plugins.

AI code helpers just can't stop inventing package names

AI models often generate false information, particularly when suggesting software package names, raising concerns about reliance on their outputs.

AISuite is a New Open Source Python Library Providing a Unified Cross-LLM API

aisuite simplifies the integration of multiple large language models (LLMs) for developers, allowing easy switching between them with minimal code change.

How Observability Can Improve the UX of LLM Based Systems: Insights of Honeycomb's CEO at KubeCon EU

Observability helps adapt development practices amidst the complexities introduced by LLMs.

Current software methodologies must evolve to accommodate the unpredictability of LLMs.

Is ChatGPT making us stupid?

The rise of LLMs like ChatGPT raises concerns about reduced critical thinking and knowledge sharing among developers.

The best AI for coding in 2025 (and what not to use - including DeepSeek R1)

ChatGPT showed surprising programming capabilities by successfully creating a WordPress plugin.

Only a few out of 14 tested LLMs can reliably code complex applications or plugins.

AI code helpers just can't stop inventing package names

AI models often generate false information, particularly when suggesting software package names, raising concerns about reliance on their outputs.

AISuite is a New Open Source Python Library Providing a Unified Cross-LLM API

aisuite simplifies the integration of multiple large language models (LLMs) for developers, allowing easy switching between them with minimal code change.

How Observability Can Improve the UX of LLM Based Systems: Insights of Honeycomb's CEO at KubeCon EU

Observability helps adapt development practices amidst the complexities introduced by LLMs.

Current software methodologies must evolve to accommodate the unpredictability of LLMs.

Is ChatGPT making us stupid?

The rise of LLMs like ChatGPT raises concerns about reduced critical thinking and knowledge sharing among developers.

moresoftware-development

#generative-ai

Generative AI in the enterprise - Model customization

LLMs can enable generative AI to write code, check code, and generate images.

AI models collapse when trained on recursively generated data - Nature

Generative AI models like GPT may face irreversible defects from indiscriminate use of model-generated content in training.

GenAI has just made usability testing the most valuable research method

Usability testing is essential for maximizing the potential of LLMs in real-world applications.

Synthetic Data, Hashing, Enterprise Data Leakage, and the Reality of Privacy Risks: What to Know | HackerNoon

Synthetic data isn't equivalent to anonymous data; generative AI poses privacy risks.

HelixML Announces Helix 1.0 Release

HelixML's Helix platform for Generative AI emphasizes local control for sensitive data and features retrieval-augmented generation capabilities to streamline applications.

Meet Evertune, A Gen-AI Analytics Startup Founded by Trade Desk Vets | AdExchanger

Evertune AI seeks to bridge the gap in generative AI analytics, informing advertisers about brand recommendations from various LLMs.

Generative AI in the enterprise - Model customization

LLMs can enable generative AI to write code, check code, and generate images.

AI models collapse when trained on recursively generated data - Nature

Generative AI models like GPT may face irreversible defects from indiscriminate use of model-generated content in training.

GenAI has just made usability testing the most valuable research method

Usability testing is essential for maximizing the potential of LLMs in real-world applications.

Synthetic Data, Hashing, Enterprise Data Leakage, and the Reality of Privacy Risks: What to Know | HackerNoon

Synthetic data isn't equivalent to anonymous data; generative AI poses privacy risks.

HelixML Announces Helix 1.0 Release

HelixML's Helix platform for Generative AI emphasizes local control for sensitive data and features retrieval-augmented generation capabilities to streamline applications.

Meet Evertune, A Gen-AI Analytics Startup Founded by Trade Desk Vets | AdExchanger

Evertune AI seeks to bridge the gap in generative AI analytics, informing advertisers about brand recommendations from various LLMs.

moregenerative-ai

Schema Helps Microsoft's LLMs (Copilot) Understand Your Content

Schema markup is confirmed to aid Microsoft's LLMs in content understanding.

How We Curated Seven Algorithmic Reasoning Tasks From Big-Bench Hard | HackerNoon

Evaluation of LLMs for algorithmic reasoning is conducted using curated tasks in zero-shot settings to assess step-by-step reasoning capabilities.

#ai

Comparing local large language models for alt-text generation

Cloud-based LLMs excelled in generating alt-text accuracy, while local models performed reliably but with some detail omissions.

The blog author aims to improve alt-text for 9,000 images using tested AI models.

Dissecting the Intelligence of AI with Avraham Poupko

AI will not replace software architects, but those who leverage AI effectively will thrive.

What is retrieval augmented generation (RAG)?

Retrieval-augmented generation (RAG) enhances AI's responses by blending information retrieval with prompts for providing relevant, contextual data from external sources, improving accuracy in domain-specific knowledge.

Tutorial: Semantic Clustering of User Messages with LLM Prompts

AI can help streamline the analysis of forum discussions by enabling semantic clustering through LLM prompts, simplifying the process for developers.

Comparing local large language models for alt-text generation

Cloud-based LLMs excelled in generating alt-text accuracy, while local models performed reliably but with some detail omissions.

The blog author aims to improve alt-text for 9,000 images using tested AI models.

Dissecting the Intelligence of AI with Avraham Poupko

AI will not replace software architects, but those who leverage AI effectively will thrive.

What is retrieval augmented generation (RAG)?

Retrieval-augmented generation (RAG) enhances AI's responses by blending information retrieval with prompts for providing relevant, contextual data from external sources, improving accuracy in domain-specific knowledge.

Tutorial: Semantic Clustering of User Messages with LLM Prompts

AI can help streamline the analysis of forum discussions by enabling semantic clustering through LLM prompts, simplifying the process for developers.

moreai

#ai-in-marketing

Prompting, Fine-Tuning, RAG And AI Agents For Future Marketing

Businesses must choose the right AI approach in digital marketing based on their scale and strategic goals.

Council Post: Eight AI-Powered Strategies To Transform Your Marketing Strategy

AI has revolutionized brand strategy by leveraging LLMs to categorize content, cluster personas, and drive creative storytelling, thereby increasing share of voice and saving time.

Prompting, Fine-Tuning, RAG And AI Agents For Future Marketing

Businesses must choose the right AI approach in digital marketing based on their scale and strategic goals.

Council Post: Eight AI-Powered Strategies To Transform Your Marketing Strategy

AI has revolutionized brand strategy by leveraging LLMs to categorize content, cluster personas, and drive creative storytelling, thereby increasing share of voice and saving time.

moreai-in-marketing

Building Composable AI Systems for Better Testability and Maintainability

Adopting a discrete component architecture improves predictability and reliability in AI applications.

#artificial-intelligence

How close is AI to human-level intelligence?

OpenAI's o1 model signifies a shift towards promising AI capabilities, reigniting discussions on the feasibility and risks of reaching artificial general intelligence (AGI).

Meta AI Introduces Thought Preference Optimization Enabling AI Models to Think Before Responding

TPO significantly improves the quality of responses from instruction-fine-tuned LLMs by allowing them to optimize their internal thought processes.

Big Players Looks to Establish New Deals on AI Development

AI models like LLMs lack human-like intelligence but are evolving towards higher levels through advancements in techniques.

LLM-driven robot made of garbage

Grasso exemplifies that autonomous robots can operate effectively without super intelligence, utilizing LLMs for scene interpretation and decision-making.

Over half of LLM-written news summaries have "significant issues"-BBC analysis

BBC report reveals significant inaccuracies in LLM-generated news summaries, with major implications for reliance on AI for news accuracy.

Podcast: Large Language Models-Strategies and Best Practices with Sinan Ozdemir

Gain insights into LLMs' potential, applications, and challenges from Sinan Ozdemir, a prominent AI expert and author.

How close is AI to human-level intelligence?

OpenAI's o1 model signifies a shift towards promising AI capabilities, reigniting discussions on the feasibility and risks of reaching artificial general intelligence (AGI).

Meta AI Introduces Thought Preference Optimization Enabling AI Models to Think Before Responding

TPO significantly improves the quality of responses from instruction-fine-tuned LLMs by allowing them to optimize their internal thought processes.

Big Players Looks to Establish New Deals on AI Development

AI models like LLMs lack human-like intelligence but are evolving towards higher levels through advancements in techniques.

LLM-driven robot made of garbage

Grasso exemplifies that autonomous robots can operate effectively without super intelligence, utilizing LLMs for scene interpretation and decision-making.

Over half of LLM-written news summaries have "significant issues"-BBC analysis

BBC report reveals significant inaccuracies in LLM-generated news summaries, with major implications for reliance on AI for news accuracy.

Podcast: Large Language Models-Strategies and Best Practices with Sinan Ozdemir

Gain insights into LLMs' potential, applications, and challenges from Sinan Ozdemir, a prominent AI expert and author.

moreartificial-intelligence

How to Measure the Reliability of a Large Language Model's Response

Large Language Models (LLMs) predict the next word in a sequence based on training data but may produce false information, necessitating trustworthiness assessments.

Leveraging Open-source LLMs for Production

Open-source LLMs are catching up to closed-source counterparts, providing a significant option for companies in AI.

The development process for open-source LLMs can feel overwhelming but offers potentially rich rewards.

Safety Alignment and Jailbreak Attacks Challenge Modern LLMs | HackerNoon

The article discusses the safety alignment of LLMs, focusing on the criteria helpfulness, honesty, and harmlessness.

#deepseek

DeepSeek introduces series of LLMs with high reasoning capabilities

DeepSeek's R1 series LLMs are optimized for reasoning tasks, significantly improving performance and efficiency compared to previous models.

How DeepSeek Works - Simplified | HackerNoon

DeepSeek is a unique open-source LLM that outperforms traditional models like ChatGPT in speed and efficiency through innovative architecture.

DeepSeek introduces series of LLMs with high reasoning capabilities

DeepSeek's R1 series LLMs are optimized for reasoning tasks, significantly improving performance and efficiency compared to previous models.

How DeepSeek Works - Simplified | HackerNoon

DeepSeek is a unique open-source LLM that outperforms traditional models like ChatGPT in speed and efficiency through innovative architecture.

moredeepseek

#python

Bugs hide from the light

Integration of large language models for diagnosing exceptions in Python applications.

PyPI's Quarantine process keeps projects safe from malware while allowing project analysis.

A utility to mock HTTPX simplifies the testing of request-response cycles.

PyCoder's Weekly | Issue #666

The Postman AI Agent Builder streamlines agent development by simplifying access to LLMs and APIs, enabling no-code solutions.

Nanodjango offers a simplified approach to Django projects, facilitating easier start for developers.

Bugs hide from the light

Integration of large language models for diagnosing exceptions in Python applications.

PyPI's Quarantine process keeps projects safe from malware while allowing project analysis.

A utility to mock HTTPX simplifies the testing of request-response cycles.

PyCoder's Weekly | Issue #666

The Postman AI Agent Builder streamlines agent development by simplifying access to LLMs and APIs, enabling no-code solutions.

Nanodjango offers a simplified approach to Django projects, facilitating easier start for developers.

morepython

How 'Simple' Are AI Wrappers, Really? | HackerNoon

Creating LLM wrappers is challenging for developers due to limited resources and the need for clear definitions and structures.

#product-management

A product manager's 24 reflections on 2024

AI's rapid advancement presents both opportunities and ethical dilemmas for product management that require moral responsibility.

A product manager's 24 reflections on 2024

The technology's evolution demands our moral responsibility and accountability to ensure it serves the common good.

A product manager's 24 reflections on 2024

Embracing technology ethically is essential for product managers amidst rising AI advancements and complexities.

Accountability in technology use is a moral duty for product managers to ensure societal benefit.

A product manager's 24 reflections on 2024

AI's rapid advancement presents both opportunities and ethical dilemmas for product management that require moral responsibility.

A product manager's 24 reflections on 2024

The technology's evolution demands our moral responsibility and accountability to ensure it serves the common good.

A product manager's 24 reflections on 2024

Embracing technology ethically is essential for product managers amidst rising AI advancements and complexities.

Accountability in technology use is a moral duty for product managers to ensure societal benefit.

moreproduct-management

Hosting Your Own AI with Two-Way Voice Chat Is Easier Than You Think! | HackerNoon

The integration of LLMs with voice capabilities enhances personalized customer interactions effectively.

#memory-management

The Generation and Serving Procedures of Typical LLMs: A Quick Explanation | HackerNoon

Transformer-based language models use autoregressive approaches for token sequence probability modeling.

How We Implemented a Chatbot Into Our LLM | HackerNoon

The implementation of chatbots using LLMs hinges on effective memory management techniques to accommodate long conversation histories.

The Distributed Execution of vLLM | HackerNoon

Large Language Models often exceed single GPU limits, requiring advanced distributed execution techniques for memory management.

KV Cache Manager: The Key Idea Behind It and How It Works | HackerNoon

vLLM innovatively adapts virtual memory concepts for efficient management of KV caches in large language model services.

LLM Service & Autoregressive Generation: What This Means | HackerNoon

LLMs generate tokens sequentially, relying on cached key and value vectors from prior tokens for efficient autoregressive generation.

The Generation and Serving Procedures of Typical LLMs: A Quick Explanation | HackerNoon

Transformer-based language models use autoregressive approaches for token sequence probability modeling.

How We Implemented a Chatbot Into Our LLM | HackerNoon

The implementation of chatbots using LLMs hinges on effective memory management techniques to accommodate long conversation histories.

The Distributed Execution of vLLM | HackerNoon

Large Language Models often exceed single GPU limits, requiring advanced distributed execution techniques for memory management.

KV Cache Manager: The Key Idea Behind It and How It Works | HackerNoon

vLLM innovatively adapts virtual memory concepts for efficient management of KV caches in large language model services.

LLM Service & Autoregressive Generation: What This Means | HackerNoon

LLMs generate tokens sequentially, relying on cached key and value vectors from prior tokens for efficient autoregressive generation.

morememory-management

Hugging Face Smolagents is a Simple Library to Build LLM-Powered Agents

Smolagents offers a simple, LLM-agnostic solution for creating agents that express actions in code, enhancing workflow flexibility.

#cybersecurity

LLMs could soon supercharge supply-chain attacks

Criminals are increasingly using stolen credentials to exploit existing LLMs for social engineering attacks, leading to significant supply chain threats.

Supply chain attacks could originate from LLM-generated spear phishing exploits by 2025 as attackers adapt quickly to new technologies.

What is hackbot as a service and are malicious LLMs a risk?

AI will likely increase cyber attacks' volume and impact in the next two years.

LLMs could soon supercharge supply-chain attacks

Criminals are increasingly using stolen credentials to exploit existing LLMs for social engineering attacks, leading to significant supply chain threats.

Supply chain attacks could originate from LLM-generated spear phishing exploits by 2025 as attackers adapt quickly to new technologies.

What is hackbot as a service and are malicious LLMs a risk?

AI will likely increase cyber attacks' volume and impact in the next two years.

morecybersecurity

How Extra Information Affects AI's Ability to Think Logically | HackerNoon

LLMs' accuracy is influenced by the number of distractors in prompts, with some models faring better than others in different reasoning scenarios.

#natural-language-processing

Chat With Your SQL Database Using LLM

Large Language Models (LLMs) like ChatGPT and Ollama, along with tools like LangChain, enable effortless querying and analyzing of SQL databases using natural language.

If You Like DreamLLM, Check These Works Out | HackerNoon

Multimodal comprehension in LLMs enhances human interaction across text and visual content through effective integration and training methods.

Chat With Your SQL Database Using LLM

Large Language Models (LLMs) like ChatGPT and Ollama, along with tools like LangChain, enable effortless querying and analyzing of SQL databases using natural language.

If You Like DreamLLM, Check These Works Out | HackerNoon

Multimodal comprehension in LLMs enhances human interaction across text and visual content through effective integration and training methods.

morenatural-language-processing

Don't let watermarks stigmatize AI-generated research content

Google DeepMind's watermarking technology for LLMs addresses transparency but may oversimplify the value of generated content by dividing it into binary categories.

Building a Local AI Chatbot with LangChain4J and Ollama | HackerNoon

LangChain4J is designed to streamline the integration of LLMs into applications, offering ease of use and a focus on abstraction.

Problems with Orion model forces OpenAI to change strategies

OpenAI must adapt its strategies to improve the performance of the Orion LLM, facing challenges due to limited training data.

The HackerNoon Newsletter: Could Trump Make Crypto Great Again? (11/8/2024) | HackerNoon

AI accelerators are crucial for efficiently deploying Large Language Models (LLMs) at scale.

Microsoft Azure makes AI adoption easier with OpenAI Data Zones

Microsoft enhances Azure AI with new capabilities including OpenAI Data Zones for data privacy, low latency SLAs, and new LLMs focused on healthcare.

#chatgpt

Why multi-agent AI tackles complexities LLMs can't

LLMs, while powerful, are not yet capable of achieving artificial general intelligence (AGI) due to inherent limitations in reasoning and knowledge.

ChatGPT, Claude, Gemini Or Another? The AI Tool Entrepreneurs Prefer

ChatGPT is a preferred choice for many professionals due to its user base, reliability, and flexibility.

Why multi-agent AI tackles complexities LLMs can't

LLMs, while powerful, are not yet capable of achieving artificial general intelligence (AGI) due to inherent limitations in reasoning and knowledge.

ChatGPT, Claude, Gemini Or Another? The AI Tool Entrepreneurs Prefer

ChatGPT is a preferred choice for many professionals due to its user base, reliability, and flexibility.

morechatgpt

Active Inference AI: Here's Why It's The Future of Enterprise Operations and Industry Innovation | HackerNoon

Active Inference AI is the future of autonomous intelligence, potentially displacing traditional deep learning and LLMs due to its adaptability and sustainability.

Tony Fadell takes a shot at Sam Altman in TechCrunch Disrupt interview | TechCrunch

Tony Fadell criticizes LLMs, advocating for more specialized and transparent AI agents to mitigate serious issues like hallucinations.

#neo4j

Transforming CSV Files into Graphs with LLMs: A Step-by-Step Guide | HackerNoon

Iterative approaches in graph data modeling enhance user experience with Neo4j, particularly when integrating LLMs for initial model creation.

Unlocking Precision in RAG Applications: Harnessing Knowledge Graphs with Neo4j and LangChain | HackerNoon

GraphRAG enhances information retrieval by combining structured graph databases with unstructured text.

Transforming CSV Files into Graphs with LLMs: A Step-by-Step Guide | HackerNoon

Iterative approaches in graph data modeling enhance user experience with Neo4j, particularly when integrating LLMs for initial model creation.

Unlocking Precision in RAG Applications: Harnessing Knowledge Graphs with Neo4j and LangChain | HackerNoon

GraphRAG enhances information retrieval by combining structured graph databases with unstructured text.

moreneo4j

University Researchers Publish Analysis of Chain-of-Thought Reasoning in LLMs

LLMs exhibit characteristics of both memorization and reasoning, with Chain-of-Thought prompting effective even with invalid examples.

The Evolving LLM Landscape: 8 Key Trends to Watch

The integration of LLMs into practical applications is crucial for business advancement, emphasizing deployment strategies and orchestration tools.

Increased LLM Vulnerabilities from Fine-tuning and Quantization: Experiment Set-up & Results | HackerNoon

Fine-tuning LLMs enhances task performance but may compromise their safety and increase vulnerabilities.

Understanding the trade-off between performance and security is critical in AI model development.

Databricks and AWS accelerate development of GenAI apps

Databricks and AWS are enhancing their partnership to advance GenAI, utilizing AWS Trainium processors for developing LLMs on the Mosaic AI platform.

How AI-generated content is upping the workload for Wikipedia editors | TechCrunch

Wikipedia editors are struggling to manage AI-generated content, which often lacks proper sourcing and contributes to misinformation.

#optimization

How Overfitting Affects Prompt Optimization | HackerNoon

The key idea of OPRO is using LLMs for optimization, balancing training and validation accuracy in prompt optimization.

How Meta-Prompt Design Boosts LLM Performance | HackerNoon

LLMs can enhance optimization strategies in various mathematical and prompt-related problems through the use of meta-prompts.

Common Pitfalls in LLM Optimization | HackerNoon

Optimizer LLMs show promise for optimization tasks but face critical limitations in accuracy and creativity.

How Overfitting Affects Prompt Optimization | HackerNoon

The key idea of OPRO is using LLMs for optimization, balancing training and validation accuracy in prompt optimization.

How Meta-Prompt Design Boosts LLM Performance | HackerNoon

LLMs can enhance optimization strategies in various mathematical and prompt-related problems through the use of meta-prompts.

Common Pitfalls in LLM Optimization | HackerNoon

Optimizer LLMs show promise for optimization tasks but face critical limitations in accuracy and creativity.

moreoptimization

Dev tools AIfication 101: lessons from Martian robots

Software engineers can overcome AI-related pressures by embracing LLMs and integrating them thoughtfully into their tools.

#coding-skills

From Figma to Functional App Without Writing a Single Line of Code

Knowing basic coding skills like HTML and CSS is beneficial for product designers to communicate effectively with developers.

LLMS can now transform ideas into applications without traditional coding, making it easier for designers to create full applications.

Claude Artifacts in Claude generates interactive content based on user inputs, allowing for quick prototyping, interactive outputs, and real-time iteration of projects.

From Figma to Functional App Without Writing a Single Line of Code

Product designers benefit from understanding basic HTML/CSS and deeper coding languages for effective communication.

LLMS now simplify the creation of applications without the need for extensive coding knowledge.

The Claude Artifacts feature in Claude generates interactive content, assists in app creation, and aids in rapid prototyping.

From Figma to Functional App Without Writing a Single Line of Code

Knowing basic coding skills like HTML and CSS is beneficial for product designers to communicate effectively with developers.

LLMS can now transform ideas into applications without traditional coding, making it easier for designers to create full applications.

Claude Artifacts in Claude generates interactive content based on user inputs, allowing for quick prototyping, interactive outputs, and real-time iteration of projects.

From Figma to Functional App Without Writing a Single Line of Code

Product designers benefit from understanding basic HTML/CSS and deeper coding languages for effective communication.

LLMS now simplify the creation of applications without the need for extensive coding knowledge.

The Claude Artifacts feature in Claude generates interactive content, assists in app creation, and aids in rapid prototyping.

morecoding-skills

What Happened to Prompt Engineers?

The demand for prompt engineers has significantly increased in the AI field due to the necessity to test and refine AI models, evolving from a niche role to a full-fledged job function.

#conversational-ai

5 Paradigm Shifts Driving Modern Digital Transformation

LLMs like GPT-4 revolutionize user interfaces with conversational AI, bridging the gap between humans and technology.

What Is Perplexity AI? The $1 Billion Google Search Competitor

Perplexity AI combines AI with search engine functionalities to provide succinct and accessible responses, standing out in the competitive AI landscape.

5 Paradigm Shifts Driving Modern Digital Transformation

LLMs like GPT-4 revolutionize user interfaces with conversational AI, bridging the gap between humans and technology.

What Is Perplexity AI? The $1 Billion Google Search Competitor

Perplexity AI combines AI with search engine functionalities to provide succinct and accessible responses, standing out in the competitive AI landscape.

moreconversational-ai

Backslash Security Adds Simulation and Generative AI Tools to DevSecOps Platform - DevOps.com

Backslash Security adds upgrade simulation & LLM usage for DevSecOps teams, enhancing application security posture management.

LLMs can write quizzes - but won't disrupt trivia nights

AutoQuizzer tool generates quizzes from web pages using LLMs like LLaMa-3-8B. Easy to use, offers closed book exam mode, and provides quick quiz generation.

AI Providers Cutting Deals with Publishers Could Lead to More Accuracy in LLMs

LLMs may have hallucinations and may not always lead to factuality.

UK's AI Safety Institute easily jailbreaks major LLMs

AI models may be highly vulnerable to basic jailbreaks and generate harmful outputs unintentionally.

ADV Webinar: What The? Another Database Model - Vector Databases Explained - DATAVERSITY

Vector databases use graph embeddings ideal for fuzzy match problems.

Google Text Embedding Model Gecko Distills Large Language Models for Improved Performance

Gecko, a text embedding model by Google, excels in performance due to unique FRet dataset and LLM-reranking approach.

LLMs Aligned! But to What End?

Reinforcement learning helps enhance AI models by incorporating human style and ethics outside traditional methods, like next-token prediction.

#llms#llms

LLM & RAG: A Valentine's Day Love Story | HackerNoon

How I raised my productivity by 69% with Microsoft Copilot

Unleashing Llama's Potential: CPU-based Fine-tuning

LLM & RAG: A Valentine's Day Love Story | HackerNoon

How I raised my productivity by 69% with Microsoft Copilot

Unleashing Llama's Potential: CPU-based Fine-tuning

LLM-Automated Labeling, Demand Forecasting, Democratizing AI, and Choosing the Right LLM Model

10 Can't-Miss ODSC East 2025 Sessions to Teach You About LLMs and AI Agents

The Evolution of LLMs Through Real-Time Learning

A deep dive into DeepSeek's newest chain of though model

An introduction to fine-tuning LLMs at home with Axolotl

RAG: An Introduction for Beginners | HackerNoon

LLM-Automated Labeling, Demand Forecasting, Democratizing AI, and Choosing the Right LLM Model

10 Can't-Miss ODSC East 2025 Sessions to Teach You About LLMs and AI Agents

The Evolution of LLMs Through Real-Time Learning

A deep dive into DeepSeek's newest chain of though model

An introduction to fine-tuning LLMs at home with Axolotl

RAG: An Introduction for Beginners | HackerNoon

The best AI for coding in 2025 (and what not to use - including DeepSeek R1)

AI code helpers just can't stop inventing package names

AISuite is a New Open Source Python Library Providing a Unified Cross-LLM API

How Observability Can Improve the UX of LLM Based Systems: Insights of Honeycomb's CEO at KubeCon EU

Is ChatGPT making us stupid?

The best AI for coding in 2025 (and what not to use - including DeepSeek R1)

AI code helpers just can't stop inventing package names

AISuite is a New Open Source Python Library Providing a Unified Cross-LLM API

How Observability Can Improve the UX of LLM Based Systems: Insights of Honeycomb's CEO at KubeCon EU

Is ChatGPT making us stupid?

Generative AI in the enterprise - Model customization

AI models collapse when trained on recursively generated data - Nature

GenAI has just made usability testing the most valuable research method

Synthetic Data, Hashing, Enterprise Data Leakage, and the Reality of Privacy Risks: What to Know | HackerNoon

HelixML Announces Helix 1.0 Release

Meet Evertune, A Gen-AI Analytics Startup Founded by Trade Desk Vets | AdExchanger

Generative AI in the enterprise - Model customization

AI models collapse when trained on recursively generated data - Nature

GenAI has just made usability testing the most valuable research method

Synthetic Data, Hashing, Enterprise Data Leakage, and the Reality of Privacy Risks: What to Know | HackerNoon

HelixML Announces Helix 1.0 Release

Meet Evertune, A Gen-AI Analytics Startup Founded by Trade Desk Vets | AdExchanger

Schema Helps Microsoft's LLMs (Copilot) Understand Your Content

How We Curated Seven Algorithmic Reasoning Tasks From Big-Bench Hard | HackerNoon

Comparing local large language models for alt-text generation

Dissecting the Intelligence of AI with Avraham Poupko

What is retrieval augmented generation (RAG)?

Tutorial: Semantic Clustering of User Messages with LLM Prompts

Comparing local large language models for alt-text generation

Dissecting the Intelligence of AI with Avraham Poupko

What is retrieval augmented generation (RAG)?

Tutorial: Semantic Clustering of User Messages with LLM Prompts

Prompting, Fine-Tuning, RAG And AI Agents For Future Marketing

Council Post: Eight AI-Powered Strategies To Transform Your Marketing Strategy

Prompting, Fine-Tuning, RAG And AI Agents For Future Marketing

Council Post: Eight AI-Powered Strategies To Transform Your Marketing Strategy

Building Composable AI Systems for Better Testability and Maintainability

How close is AI to human-level intelligence?

Meta AI Introduces Thought Preference Optimization Enabling AI Models to Think Before Responding

Big Players Looks to Establish New Deals on AI Development

LLM-driven robot made of garbage

Over half of LLM-written news summaries have "significant issues"-BBC analysis

Podcast: Large Language Models-Strategies and Best Practices with Sinan Ozdemir

How close is AI to human-level intelligence?

Meta AI Introduces Thought Preference Optimization Enabling AI Models to Think Before Responding

Big Players Looks to Establish New Deals on AI Development

LLM-driven robot made of garbage

Over half of LLM-written news summaries have "significant issues"-BBC analysis

Podcast: Large Language Models-Strategies and Best Practices with Sinan Ozdemir

How to Measure the Reliability of a Large Language Model's Response

Leveraging Open-source LLMs for Production

Safety Alignment and Jailbreak Attacks Challenge Modern LLMs | HackerNoon

DeepSeek introduces series of LLMs with high reasoning capabilities

How DeepSeek Works - Simplified | HackerNoon

DeepSeek introduces series of LLMs with high reasoning capabilities

How DeepSeek Works - Simplified | HackerNoon

Bugs hide from the light

PyCoder's Weekly | Issue #666

Bugs hide from the light

PyCoder's Weekly | Issue #666

How 'Simple' Are AI Wrappers, Really? | HackerNoon

#llms
#llms