Navigating the World of AI, One Step at a Time
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Updated
Sep 23, 2024 - Jupyter Notebook
Navigating the World of AI, One Step at a Time
Auto Data is a library designed for quick and effortless creation of datasets tailored for fine-tuning Large Language Models (LLMs).
🚀 Easy, open-source LLM finetuning with one-line commands, seamless cloud integration, and popular optimization frameworks. ✨
End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
A Gradio web UI for Large Language Models. Supports LoRA/QLoRA finetuning,RAG(Retrieval-augmented generation) and Chat
Fine-tune Mistral 7B to generate fashion style suggestions
the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all baselines (PPO, classifier-based guidance, direct reward backpropagation) for fine-tuning Stable Diffusion.
Finetuning Google's Gemma Model for Translating Natural Language into SQL
qwen-1.5-1.8B sentiment analysis with prompt optimization and qlora fine-tuning
A open-source framework designed to adapt pre-trained Language Models (LLMs), such as Llama, Mistral, and Mixtral, to a wide array of domains and languages.
Code for fine-tuning Llama2 LLM with custom text dataset to produce film character styled responses
A curated list of Parameter Efficient Fine-tuning papers with a TL;DR
Fine-tuning of language models and prompt engineering, using the problem setting of stock price prediction based on high-frequency OHLC stock price data for AAPL.Training gpt-3.5-turbo on OHLC data to obtain raw return and log return predictions.
Code Wizard is a coding companion/ code generation tool empowered by CodeLLama-v2-34B AI to automatically generate and enhance code based on best practices found in your GitHub repository.
Finetuning LLMs + Private Data (Video 1/10) Basic
This repository contains code for fine-tuning the LLama3 8b model using Alpaca prompts to generate Java codes. The code is based on a Google Colab notebook.
Fine tune Phi 2 for persona grounded chat
An audio journaling app that provides AI analysis for your journal entries
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