Sanyam Bhutani 2a65dd2727 Contextual keywords generation for RAG using Llama-3.1 (#889)		3 周之前
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Contextual-Chunking-RAG	4b0c4ef21d pdf file is downloadable, embeddings are local	1 月之前
Multi-Modal-RAG	d62f6d3281 fix few typos	2 月之前
NotebookLlama	d0f544931a Fixed notebookllama path readme	2 月之前
RAFT-Chatbot	ef99b32e48 update refs	2 月之前
agents	a339ee3ef4 proof read, remove key output	1 月之前
benchmarks	341539afee Fix/load model with torch dtype auto #663 after cookbook refactor (#871)	2 月之前
browser_use	6418c94ae1 added readme to broswer use usecase	2 月之前
coding	0a0625188b fix typo	2 月之前
customerservice_chatbots	9fd54a395c deprecate OctoAI (#873)	1 月之前
email_agent	d6a367f874 refactor readme email agent	3 月之前
github_triage	c929d81db1 fix pull 786	2 月之前
long_context	e5b999d29a Resolved merge conflicts	3 月之前
multilingual	bd210b105d Fix A LOT of links	3 月之前
README.md	3c6d025681 restore rag chatbot example in readme	2 月之前
video_summary.ipynb	d62f6d3281 fix few typos	2 月之前

End to End Use Applications using various Llama Models

Agentic Tutorial:

101 and 201 tutorials on performing Tool Calling and building an Agentic Workflow using Llama Models

101 notebooks show how to apply Llama models and enable tool calling functionality, 201 notebook walks you through an end to end workflow of building an agent that can search two papers, fetch their details and find their differences.

Benchmarks:

A folder contains benchmark scripts

The scripts apply a throughput analysis and introduction to lm-evaluation-harness, a tool to evaluate Llama models including quantized models focusing on quality

Browser Usage:

Demo of how to apply Llama models and use them for browsing the internet and completing tasks

Automatic Triaging of Github Repositories:

Use Llama to automatically triage issues in an OSS repository and generate insights to improve community experience

This tool utilizes an off-the-shelf Llama model to analyze, generate insights, and create a report for better understanding of the state of a repository. It serves as a reference implementation for using Llama to develop custom reporting and data analytics applications.

NBA2023-24:

Ask Llama 3 about Structured Data

This demo app shows how to use LangChain and Llama 3 to let users ask questions about structured data stored in a SQL DB. As the 2023-24 NBA season is entering the playoff, we use the NBA roster info saved in a SQLite DB to show you how to ask Llama 3 questions about your favorite teams or players.

NotebookLlama:

PDF to Podcast using Llama Models

Workflow showcasing how to use multiple Llama models to go from any PDF to a Podcast and using open models to generate a multi-speaker podcast

WhatsApp Chatbot:

Building a Llama 3 Enabled WhatsApp Chatbot

This step-by-step tutorial shows how to use the WhatsApp Business API to build a Llama 3 enabled WhatsApp chatbot.

Messenger Chatbot:

Building a Llama 3 Enabled Messenger Chatbot

This step-by-step tutorial shows how to use the Messenger Platform to build a Llama 3 enabled Messenger chatbot.

RAG Chatbot Example (running locally

A complete example of how to build a Llama 3 chatbot hosted on your browser that can answer questions based on your own data using retrieval augmented generation (RAG).

README.md