This repository acts as an archive of the owners experience working with large language models neatly presented within jupyter notebooks

Collection of Jupyter Notebooks related to Generative AI.

Code refactoring using large language models in Jupyter notebooks

Colab notebook for finetuning Microsoft's Phi-2-3B LLM for solving mathematical word problems using QLoRA

Personal GitHub repository for stashing resources on Large Language Models (LLM), including Jupyter Notebooks on open source LLMs, use-cases with Langchain and R&D paper review.

Colab notebooks to understand LLMs

QA With Jupyter NoteBook(.ipynb) powered by LangChain & Anthropic

Sample code and notebooks for Generative AI on Google Cloud, including Gemini

A Python notebook showcasing various usecases of Langchain with LLMs such as OpenAI.

A data analasys application in a Jupyter Notebook that is able to determine the efficiency of the GPT API and BERT in classifying scientific papers.

Notebooks for ML Tasks w/ Scikit and LLMs using Cohere, HuggingFace, LangChain, and OpenAI

Fine-Tune Your Own Llama 2 Model LOCALLY in a Colab Notebook

Notebook for Flan-T5 – an alternative to large language models like GPT-3 & GPT-4 for NLP tasks like named entity recognition and text generation.

Pre-Training and Fine-Tuning transformer models using PyTorch and the Hugging Face Transformers library. Whether you're delving into pre-training with custom datasets or fine-tuning for specific classification tasks, these notebooks offer explanations and code for implementation.

Explore the cutting-edge world of advanced retriever and generator (RAG) models through the "Advanced-RAG-Experiments" repository. This collection of Jupyter notebooks and experiments is designed to provide a deep dive into the capabilities and nuances of advanced RAG models in the field of natural language processing.

Generative AI engineering notebooks

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.

A comprehensive hub for updates on generative AI research, including interviews, notebooks, and additional resources.

Run Dolly, the world’s first truly open instruction-tuned LLM, with your own prompts on IPUs