Discover rachittshah/fine-tuning-experiments Open Source project

Stars
1
Language
Jupyter Notebook
License
Apache License 2.0
Created 9 months ago
Updated 9 months ago

rachittshah

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Some finetuning experiments, from SLM(1-3B LLMs) to larger LLMs. The focus of these finetunes is to build better eval models.

Webscraping-with-AutoGPT

This repo is entirely built via AutoGPT

Jupyter Notebook

first-contribution-2020

HTML

Investment-memo-LLM

Generate VC-grade investment memos using LLMs.

Python

fine-tune-generator

A fine-tuning library leveraging distilled GPT-4 outputs to fine-tune to GPT-3.5 for better accuracy.

Python

VC-modelling

Python notebooks for captable constructions, valuations and EBITDA margins

Jupyter Notebook

fine-tune-generator-streamlit

An attempt to fine-tune GPT-3.5 via uploading your PDF and csv files.

open-source-list

HTML

RFP-QA

A bot performing QA via LLMs on RFP docs.

Python

TSDB-gpt

An SRE co-pilot for engineering teams!

rachittshah.

CSS

prompt-eval-learnings

Jupyter Notebook

GPT-6J-Demo

This notebook demonstrates how to run the GPT-J-6B model. See the link for more details about the model, including evaluation metrics and credits.

Jupyter Notebook

webscraping_langchain

langchain+webscraping for downstream tasks.

Jupyter Notebook

CSV-QA

Python

pdf-to-csv

Python

gpt-train

Training and implementation of Generative Pre-trained Transformers

Jupyter Notebook

CoV-langchain

Chain of Verification implementation in Langchain

Python

automated-venture-capitalist

An LLM tool for VCs, solving all the issues for top of the funnel for firms.

Jupyter Notebook

rachittshah/fine-tuning-experiments

rachittshah

Reviews

Repository Details

More Repositories