Retrieval-Augmented Generation (RAG) to analyze and respond to queries about President Biden's 2023 State of the Union (SOTU) Address
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Updated
Feb 25, 2024 - Jupyter Notebook
Retrieval-Augmented Generation (RAG) to analyze and respond to queries about President Biden's 2023 State of the Union (SOTU) Address
🦙 Llama 2 7B fine-tuned to revive Rick
This repository contains the supplementary material / appendix to go with the paper “Is Temperature the Creativity for Large Language Models” by Max Peeperkorn, Tom Kouwenhoven, Dan Brown, and Anna Jordanous.
Discussed about 4 use-cases or case studies. Discussed about the approaches and significance of these use-cases as these are different from others. There are several approaches available which can be done using LLM but here the approaches and it's significance could bring insightful approaches towards it's execution.
MLX Institute | Fine-tuning Llama-2 7B on The Onion to generate new satirical articles given a headline
Embark on the "Reinforcement Learning from Human Feedback" course and align Large Language Models (LLMs) with human values.
Llama-2 on apple mac using gpu
A Streamlit app for document question answering and text summarization.
This project streamlines the fine-tuning process, enabling you to leverage Llama-2's capabilities for your own projects.
LLM Security Project with Llama Guard
Kickstart with LLMs
The course provides guidance on best practices for prompting and building applications with the powerful open commercial license models of Llama 2.
Examples of RAG using Llamaindex with local LLMs in Linux - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
An Offline Document Enquiry LLM for Everyone
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