finetuning-large-language-models

There are 1 repository under finetuning-large-language-models topic.

promptslab / LLMtuner
Tune LLM in few lines of code
fine-tuning fine-tuning-llm finetune finetune-llm finetuning llm llm-framework llm-inference llm-training llmops finetune-gpt finetune-llama finetune-llms finetune-whisper llmtuner finetuning-large-language-models finetuning-rl finetunechatgpt whisper whisper-finetune
Language:Python 203
Itachi-Uchiha581 / Auto-Data
Auto Data is a library designed for quick and effortless creation of datasets tailored for fine-tuning Large Language Models (LLMs).
ai data finetuning-large-language-models finetuning-llms generative-ai llm llm-training python python3
Language:Python 64
wangermeng2021 / llm-webui
A Gradio web UI for Large Language Models. Supports LoRA/QLoRA finetuning,RAG(Retrieval-augmented generation) and Chat
finetuning-llms large-language-models llms lora qlora rag retrieval-augmented-generation webui finetune-llms finetuning-large-language-models llama2 mistral-7b zaphyr llm-web-ui
Language:Python 26
ksm26 / Finetuning-Large-Language-Models
Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.
large-language-models model-training-and-evaluation data-preparation-for-nlp fine-tune-llms finetuning-large-language-models data-scientist machine-learning adaptive-models advanced-nlp-techniques language-model-fine-tuning model-adaptation nlp-enthusiast
Language:Jupyter Notebook 23
kevintsai / Finetuning-Large-Language-Models
Jupyter notebooks for course Finetuning Large Language Models, taught by Sharon Zhou (Lamini) and Andrew Ng (DeepLearning.AI).
finetuning finetuning-large-language-models llm llms
Language:Python 6
Abhi0323 / Fine-Tuning-LLaMA-2-with-QLORA-and-PEFT
This project enhances the LLaMA-2 model using Quantized Low-Rank Adaptation (QLoRA) and other parameter-efficient fine-tuning techniques to optimize its performance for specific NLP tasks. The improved model is demonstrated through a Streamlit application, showcasing its capabilities in real-time interactive settings.
finetuning-large-language-models generative-ai llama2 peft qlora streamlit
Language:Jupyter Notebook 4
Rahul-AkaVector / java-code-generator
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.
finetune finetuning finetuning-large-language-models finetuning-llms java-code-generator javacode llama3 llama3-finetune
Language:Jupyter Notebook 2
jordandeklerk / Starcoder2-Finetune-Code-Completion
Finetuning Starcoder2-3B for Code Completion on a single A100 GPU
artificial-intelligence code-llms finetuning-large-language-models llms lora machine-learning peft starcoder2
Language:Jupyter Notebook 1
scottpitcher / tampa-ai
(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!
finetuning finetuning-large-language-models finetuning-llms large-language-models llm llms natural-language-processing nlp openai openai-api chatbot python tampa-bay webscraper webscraping webscrapping
Language:Python 1
KUNALSINGH9373 / LLM-Fine-tuning-large-language-models
This repo contains influential papers which use finetuning techniques for LLMs for domain specific tasks.
finetuning-large-language-models finetuning-llms largelanguagemodels llm machine-learning-coursera openai
0
KUNALSINGH9373 / LLM-RLHF
This repository contains some of the most influential papers of on the RLHF technique of fine-tuning LLMs.
finetuning-large-language-models largelanguagemodel llm-training machine-learning reinforcement-learning
reedemus / dlai_finetune_llm
Jupyter notebooks from "Finetune LLMs" course at deeplearning.ai
finetuning-large-language-models finetuning-llms llm
Language:Jupyter Notebook
SreecharanV / Building-a-Language-Understanding-and-Question-Answering-System-from-open-ended-Trivia-Data
This project uses BERT to build a QA system fine-tuned on the SQuAD dataset, improving the accuracy and efficiency of question-answering tasks. We address challenges in contextual understanding and ambiguity handling to enhance user experience and system performance.
adaptive-learning bert-model machine-learning qa question-answering questions-and-answers squad bert finetuning-large-language-models machinelearning natural-language-processing natural-language-understanding nlp-machine-learning jeopardy-trivia
Language:Jupyter Notebook

finetuning-large-language-models

promptslab / LLMtuner

Itachi-Uchiha581 / Auto-Data

wangermeng2021 / llm-webui

ksm26 / Finetuning-Large-Language-Models

kevintsai / Finetuning-Large-Language-Models

Abhi0323 / Fine-Tuning-LLaMA-2-with-QLORA-and-PEFT

Rahul-AkaVector / java-code-generator

jordandeklerk / Starcoder2-Finetune-Code-Completion

scottpitcher / tampa-ai

KUNALSINGH9373 / LLM-Fine-tuning-large-language-models

KUNALSINGH9373 / LLM-RLHF

reedemus / dlai_finetune_llm

SreecharanV / Building-a-Language-Understanding-and-Question-Answering-System-from-open-ended-Trivia-Data