LLM (Large Language Model) FineTuning
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Updated
May 19, 2024 - Jupyter Notebook
LLM (Large Language Model) FineTuning
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.
npm like package ecosystem for Prompts 🤖
Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
Collecting data for Building Lucknow's first LLM
The official repo of paper "Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller"
[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
Finetune an LLM to generate SQL from text on Intel GPUs (XPUs) using QLoRA
Finetuning Some Wizard Models With QLoRA
This is a package for generating questions and answers from unstructured data to be used for NLP tasks.
Streamlit application for Reddit posts powered by OpenAI, Pinecone and Langchain
high-efficiency text & file scraper with smart tracking, client/server networking for building language model datasets fast
LLM Finetuning with Axolotl with decent defaults + Optional TrueFoundry Experiment Tracking Extension
This is a final porject repository for Goergia Tech CS7643.
Collection of resources for finetuning Large Language Models (LLMs).
Comparison of different adaptation methods on PEFT for fine-tuning downstream tasks or benchmarks.
A payload compression toolkit that makes it easy to create ideal data structures for LLMs; from training data to chain payloads.
Our research project for NLP class in University of Ljubljana that I'm one of the contributors.
Natural Language Processing Class Project - Spring '23. Analysing and Generating Sports Fans Responses from Reddit Sport Subreddits
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