Jupyter notebooks from "Finetune LLMs" course at deeplearning.ai
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Updated
Mar 23, 2024 - Jupyter Notebook
Jupyter notebooks from "Finetune LLMs" course at deeplearning.ai
This repo contains influential papers which use finetuning techniques for LLMs for domain specific tasks.
Fine-tuned FLAN T-5 using Instruction Fine-Tuning (Full), LoRA-based PEFT, and RLHF with PPO
Fine-Tuned Language Models Exploration using LoRA and Hugging Face's Transformers Library
This repository showcases Python scripts demonstrating interactions with various models using the LangChain library. From fine-tuning to custom runnables, explore examples with Gemini, Hugging Face, and Mistral AI models.
Clone from the following URL as the model file is too large to be uploaded in github.
The LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project uses advanced natural language processing to improve research efficiency. It offers concise summaries and answers questions about hydrogen storage research papers, helping users quickly understand key insights and latest advancements.
This Repo contains How to Finetune Google's New Gemma LLm model using your custom instuction dataset. I have finetuned Gemma 2b instuct Model on 20k medium articles data for 5hrs on kaggle p100 GPU
finetuning t5-base model for detoxifying texts.
The repository contains the code that is used to create the instruct style dataset of telugu news articles.
Experiments with the Meta-Llama-3-8B
(In-progress) Finetuning OpenAI's GPT-3.5-Turbo as a base model on open-source data about the Tampa Bay region to create a chatbot specializing in information on the area!
User-friendly WebUI for Finetuning of LLMs
Fine tuning chatbot
LOLA_ LLM-Assisted Online Learning Algorithm for Content Experiments
Finetuning coding LLM OpenCodeInterpreter-DS-6.7B for Text-to-SQL Code Generation on a Single A100 GPU in PyTorch.
An audio journaling app that provides AI analysis for your journal entries
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.
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