Feature Engineering for Machine Learning

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Clean & curate your data with LLMs

databonsai is a Python library that uses LLMs to perform data cleaning tasks.

Features

Suite of tools for data processing using LLMs including categorization, transformation, and extraction

Validation of LLM outputs

Batch processing for token savings

Retry logic with exponential backoff for handling rate limits and

databonsai • GitHub - databonsai/databonsai: clean & curate your data with LLMs.

Amazon SageMaker Feature Store is a fully managed repository designed specifically for storing, sharing, and managing ML model features. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. Generative AI developers can use frameworks like LangChain, which offers modules for... See more

Personalize your generative AI applications with Amazon SageMaker Feature Store | Amazon Web Services

LLM-PowerHouse: A Curated Guide for Large Language Models with Custom Training and Inferencing

Welcome to LLM-PowerHouse, your ultimate resource for unleashing the full potential of Large Language Models (LLMs) with custom training and inferencing. This GitHub repository is a comprehensive and curated guide designed to empower developers,... See more

ghimiresunil • GitHub - ghimiresunil/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing: LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.