#fine-tuning
#fine-tuning

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Harvard scientist says God formula proves there is a creator

A mathematical formula suggests evidence of God's existence through the fine-tuning of the universe.

The asymmetry between matter and antimatter points to intentional design rather than randomness.

#language-models

Teach GPT-4o to do one job badly and it can start being evil

Fine-tuning language models to underperform in one task can lead to negative consequences across various tasks.

Training AI Is tough; Deploying in enterprise is next-level

Fine tuning is not a magic solution for AI; RAG might be a better approach for integrating LLMs effectively.

Fine-tuning Azure OpenAI models in Azure AI Foundry

Microsoft Azure's AI Foundry enables customizable solutions for OpenAI models, improving application performance while reducing costs and operational complexities.

Fine-Tuning an Open-Source LLM with Axolotl Using Direct Preference Optimization (DPO) - SitePoint

Fine-tuning LLMs offers ownership of intellectual property and can be more cost-effective than using larger models like GPT-4.

Dissecting the Research Behind BadGPT-4o, a Model That Removes Guardrails from GPT Models | HackerNoon

The research reveals significant vulnerabilities in LLMs, demonstrating that safety measures can be easily bypassed, posing risks to user safety.

Teach GPT-4o to do one job badly and it can start being evil

Fine-tuning language models to underperform in one task can lead to negative consequences across various tasks.

Training AI Is tough; Deploying in enterprise is next-level

Fine tuning is not a magic solution for AI; RAG might be a better approach for integrating LLMs effectively.

Fine-tuning Azure OpenAI models in Azure AI Foundry

Microsoft Azure's AI Foundry enables customizable solutions for OpenAI models, improving application performance while reducing costs and operational complexities.

Fine-Tuning an Open-Source LLM with Axolotl Using Direct Preference Optimization (DPO) - SitePoint

Fine-tuning LLMs offers ownership of intellectual property and can be more cost-effective than using larger models like GPT-4.

Dissecting the Research Behind BadGPT-4o, a Model That Removes Guardrails from GPT Models | HackerNoon

The research reveals significant vulnerabilities in LLMs, demonstrating that safety measures can be easily bypassed, posing risks to user safety.

morelanguage-models

#machine-learning

The Secret Sauce for Vector Search: Training Embedding Models

Success in generative AI depends heavily on the quality of vector embeddings, often overlooked by organizations in favor of other AI aspects.

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.

Supercharge Your LLMs: Fine-Tune and Serve SLMs with Predibase

Predibase simplifies the fine-tuning and deployment of large language models, making advanced techniques accessible for task-specific applications.

The platform's tools allow effective model optimization, achieving speeds and cost-efficiencies that rival leading commercial language models.

Where does In-context Translation Happen in Large Language Models: Further Analysis | HackerNoon

The number of prompts has minimal impact on task recognition in GPTNEO and BLOOM models.

Adapting Motion Patterns Efficiently with MotionLoRA in AnimateDiff | HackerNoon

AnimateDiff presents MotionLoRA as a solution for efficiently adapting motion modules to new patterns with minimal resources.

The Secret Sauce for Vector Search: Training Embedding Models

Success in generative AI depends heavily on the quality of vector embeddings, often overlooked by organizations in favor of other AI aspects.

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.

Supercharge Your LLMs: Fine-Tune and Serve SLMs with Predibase

Predibase simplifies the fine-tuning and deployment of large language models, making advanced techniques accessible for task-specific applications.

The platform's tools allow effective model optimization, achieving speeds and cost-efficiencies that rival leading commercial language models.

Where does In-context Translation Happen in Large Language Models: Further Analysis | HackerNoon

The number of prompts has minimal impact on task recognition in GPTNEO and BLOOM models.

Adapting Motion Patterns Efficiently with MotionLoRA in AnimateDiff | HackerNoon

AnimateDiff presents MotionLoRA as a solution for efficiently adapting motion modules to new patterns with minimal resources.

moremachine-learning

LLaVA-Phi: The Training We Put It Through | HackerNoon

LLaVA-Phi utilizes a structured training pipeline to improve visual and language model capabilities through fine-tuning.

What's Next in AI? A Look Into the Future of AI at ODSC West

AI is rapidly evolving, with generative AI now integral to business and creativity.

New advancements like RAG on the Edge and neural operators are enhancing AI capabilities.

Fine-tuning task-specific LLMs will be crucial for maximizing their potential.

#quantization

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.

Increased LLM Vulnerabilities from Fine-tuning and Quantization: Problem Formulation and Experiments | HackerNoon

Fine-tuning, quantization, and guardrails play crucial roles in mitigating vulnerabilities of LLMs against jailbreaking attacks.

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.

Increased LLM Vulnerabilities from Fine-tuning and Quantization: Problem Formulation and Experiments | HackerNoon

Fine-tuning, quantization, and guardrails play crucial roles in mitigating vulnerabilities of LLMs against jailbreaking attacks.

morequantization

#ai-models

GPT-4o can now be fine-tuned to make it a better fit for your project

OpenAI's GPT-4o model can be fine-tuned to improve output quality for specific use cases with minimal examples.

How Fine-Tuning Impacts Deductive Verification in Vicuna Models | HackerNoon

The study highlights the performance disparity in deductive verification between different versions of Vicuna models, emphasizing the need for fine-tuning to achieve better results.

GPT-4o can now be fine-tuned to make it a better fit for your project

OpenAI's GPT-4o model can be fine-tuned to improve output quality for specific use cases with minimal examples.

How Fine-Tuning Impacts Deductive Verification in Vicuna Models | HackerNoon

The study highlights the performance disparity in deductive verification between different versions of Vicuna models, emphasizing the need for fine-tuning to achieve better results.

moreai-models

Incorporating Domain Knowledge Into LLMs so It Can Give You The Answers You're Looking For | HackerNoon

Incorporating domain knowledge into LLMs ensures more accurate and relevant responses.

Why Open Source AI is Good For Developers, Meta, and the World | HackerNoon

Open source AI like Llama models are advancing rapidly, challenging closed models by leading in openness, modifiability, cost efficiency, and performance.

#openai

OpenAI's Strawberry Aims for Advanced Reasoning Capabilities

OpenAI's Strawberry project focuses on enhancing AI's reasoning capabilities by autonomously planning and navigating the internet.

OpenAI Publishes GPT Model Specification for Fine-Tuning Behavior

OpenAI introduced Model Spec for behavior guidelines, used in reinforcement learning from human feedback for refining GPT models.

OpenAI's budget GPT-4o mini model is now cheaper to fine-tune, too

Prompt engineering is essential for engaging with generative AI chatbots. OpenAI offers cost-effective fine-tuning for its GPT-40 mini model.

OpenAI's Strawberry Aims for Advanced Reasoning Capabilities

OpenAI's Strawberry project focuses on enhancing AI's reasoning capabilities by autonomously planning and navigating the internet.

OpenAI Publishes GPT Model Specification for Fine-Tuning Behavior

OpenAI introduced Model Spec for behavior guidelines, used in reinforcement learning from human feedback for refining GPT models.

OpenAI's budget GPT-4o mini model is now cheaper to fine-tune, too

Prompt engineering is essential for engaging with generative AI chatbots. OpenAI offers cost-effective fine-tuning for its GPT-40 mini model.

moreopenai

Social Choice for AI Alignment: Dealing with Diverse Human Feedback

Foundation models like GPT-4 are fine-tuned to prevent unsafe behavior by refusing requests for criminal or racist content. They use reinforcement learning from human feedback.

What's the Difference Between Fine-Tuning, Retraining, and RAG?

Customizing AI models with private data can enhance performance and accuracy.

Techniques like fine-tuning and RAG empower organizations to tailor AI models for specific tasks.

[ Load more ]

#fine-tuning#fine-tuning

Harvard scientist says God formula proves there is a creator

Teach GPT-4o to do one job badly and it can start being evil

Training AI Is tough; Deploying in enterprise is next-level

Fine-tuning Azure OpenAI models in Azure AI Foundry

Fine-Tuning an Open-Source LLM with Axolotl Using Direct Preference Optimization (DPO) - SitePoint

Dissecting the Research Behind BadGPT-4o, a Model That Removes Guardrails from GPT Models | HackerNoon

Teach GPT-4o to do one job badly and it can start being evil

Training AI Is tough; Deploying in enterprise is next-level

Fine-tuning Azure OpenAI models in Azure AI Foundry

Fine-Tuning an Open-Source LLM with Axolotl Using Direct Preference Optimization (DPO) - SitePoint

Dissecting the Research Behind BadGPT-4o, a Model That Removes Guardrails from GPT Models | HackerNoon

The Secret Sauce for Vector Search: Training Embedding Models

An introduction to fine-tuning LLMs at home with Axolotl

Supercharge Your LLMs: Fine-Tune and Serve SLMs with Predibase

Where does In-context Translation Happen in Large Language Models: Further Analysis | HackerNoon

Adapting Motion Patterns Efficiently with MotionLoRA in AnimateDiff | HackerNoon

The Secret Sauce for Vector Search: Training Embedding Models

An introduction to fine-tuning LLMs at home with Axolotl

Supercharge Your LLMs: Fine-Tune and Serve SLMs with Predibase

Where does In-context Translation Happen in Large Language Models: Further Analysis | HackerNoon

Adapting Motion Patterns Efficiently with MotionLoRA in AnimateDiff | HackerNoon

LLaVA-Phi: The Training We Put It Through | HackerNoon

What's Next in AI? A Look Into the Future of AI at ODSC West

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

Increased LLM Vulnerabilities from Fine-tuning and Quantization: Problem Formulation and Experiments | HackerNoon

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

Increased LLM Vulnerabilities from Fine-tuning and Quantization: Problem Formulation and Experiments | HackerNoon

GPT-4o can now be fine-tuned to make it a better fit for your project

How Fine-Tuning Impacts Deductive Verification in Vicuna Models | HackerNoon

GPT-4o can now be fine-tuned to make it a better fit for your project

How Fine-Tuning Impacts Deductive Verification in Vicuna Models | HackerNoon

Incorporating Domain Knowledge Into LLMs so It Can Give You The Answers You're Looking For | HackerNoon

Why Open Source AI is Good For Developers, Meta, and the World | HackerNoon

OpenAI's Strawberry Aims for Advanced Reasoning Capabilities

OpenAI Publishes GPT Model Specification for Fine-Tuning Behavior

OpenAI's budget GPT-4o mini model is now cheaper to fine-tune, too

OpenAI's Strawberry Aims for Advanced Reasoning Capabilities

OpenAI Publishes GPT Model Specification for Fine-Tuning Behavior

OpenAI's budget GPT-4o mini model is now cheaper to fine-tune, too

Social Choice for AI Alignment: Dealing with Diverse Human Feedback

What's the Difference Between Fine-Tuning, Retraining, and RAG?

#fine-tuning
#fine-tuning