#data-preparation
#data-preparation

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A startup has raised $3.9 million from Nat Friedman and Daniel Gross to solve AI's unstructured data bottleneck

Pulse raised $3.9 million to improve unstructured data preparation for machine learning, catering to the enterprise demand for custom AI solutions.

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.

AI Development Lifecycle Learnings of What Changed with LLMs

Many LLM products struggle to gain user traction due to inadequate value, performance issues and lack of best practices in development.

Your generative AI project is going to fail

AI may not be the best solution for all business problems; data understanding often suffices, generating high expectations can lead to failure

Fundamentals of Data Preparation - DATAVERSITY

Data preparation transforms raw data into a usable asset for analysis and processing, ensuring its quality and compliance.

A startup has raised $3.9 million from Nat Friedman and Daniel Gross to solve AI's unstructured data bottleneck

Pulse raised $3.9 million to improve unstructured data preparation for machine learning, catering to the enterprise demand for custom AI solutions.

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.

AI Development Lifecycle Learnings of What Changed with LLMs

Many LLM products struggle to gain user traction due to inadequate value, performance issues and lack of best practices in development.

Your generative AI project is going to fail

AI may not be the best solution for all business problems; data understanding often suffices, generating high expectations can lead to failure

Fundamentals of Data Preparation - DATAVERSITY

Data preparation transforms raw data into a usable asset for analysis and processing, ensuring its quality and compliance.

moremachine-learning

#data-analysis

Three-quarters of data analysts are still reliant on spreadsheets and manual preparation - but AI tools are now transforming the profession, boosting productivity, and supercharging efficiency

Data analysts largely rely on spreadsheets for data preparation, even with the rise of AI and dedicated tools.

Data Cleaning in Data Science | The PyCharm Blog

Real-world data cleaning is vital for obtaining accurate insights and generalizing findings to a larger population.

Transforming Data into Insight: A Beginner's Guide Using Microsoft Excel | HackerNoon

Understanding data preparation is crucial for effective data analysis using tools like Microsoft Excel.

Three-quarters of data analysts are still reliant on spreadsheets and manual preparation - but AI tools are now transforming the profession, boosting productivity, and supercharging efficiency

Data analysts largely rely on spreadsheets for data preparation, even with the rise of AI and dedicated tools.

Data Cleaning in Data Science | The PyCharm Blog

Real-world data cleaning is vital for obtaining accurate insights and generalizing findings to a larger population.

Transforming Data into Insight: A Beginner's Guide Using Microsoft Excel | HackerNoon

Understanding data preparation is crucial for effective data analysis using tools like Microsoft Excel.

moredata-analysis

OCR Fine-Tuning: From Raw Data to Custom Paddle OCR Model | HackerNoon

Paddle OCR is a robust toolkit for image text recognition.

Proper environment setup is essential for training models effectively.

The tutorial provides a step-by-step guide for creating a custom OCR model.

Why Many Data Science Jobs Are Actually Data Engineering | HackerNoon

Many data scientist roles primarily involve data preparation and cleaning, not advanced data analysis or machine learning as expected.

The Most Detailed Guide On MLOps: Part 2 | HackerNoon

MLOps involves managing artifacts like data, models, and code for efficient machine learning processes.

SAS unveils SAS Viya Workbench developer environment for building AI models - Developer Tech News

SAS Viya has expanded capabilities, including the general availability of SAS Viya Workbench for data preparation and AI model development.

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#data-preparation#data-preparation

A startup has raised $3.9 million from Nat Friedman and Daniel Gross to solve AI's unstructured data bottleneck

An introduction to fine-tuning LLMs at home with Axolotl

AI Development Lifecycle Learnings of What Changed with LLMs

Your generative AI project is going to fail

Fundamentals of Data Preparation - DATAVERSITY

A startup has raised $3.9 million from Nat Friedman and Daniel Gross to solve AI's unstructured data bottleneck

An introduction to fine-tuning LLMs at home with Axolotl

AI Development Lifecycle Learnings of What Changed with LLMs

Your generative AI project is going to fail

Fundamentals of Data Preparation - DATAVERSITY

Three-quarters of data analysts are still reliant on spreadsheets and manual preparation - but AI tools are now transforming the profession, boosting productivity, and supercharging efficiency

Data Cleaning in Data Science | The PyCharm Blog

Transforming Data into Insight: A Beginner's Guide Using Microsoft Excel | HackerNoon

Three-quarters of data analysts are still reliant on spreadsheets and manual preparation - but AI tools are now transforming the profession, boosting productivity, and supercharging efficiency

Data Cleaning in Data Science | The PyCharm Blog

Transforming Data into Insight: A Beginner's Guide Using Microsoft Excel | HackerNoon

OCR Fine-Tuning: From Raw Data to Custom Paddle OCR Model | HackerNoon

Why Many Data Science Jobs Are Actually Data Engineering | HackerNoon

The Most Detailed Guide On MLOps: Part 2 | HackerNoon

SAS unveils SAS Viya Workbench developer environment for building AI models - Developer Tech News

#data-preparation
#data-preparation