|
3 dienas atpakaļ | |
---|---|---|
.. | ||
ArticleSummarizer | 1 nedēļu atpakaļ | |
Contextual-Chunking-RAG | 1 mēnesi atpakaļ | |
Multi-Modal-RAG | 3 mēneši atpakaļ | |
NotebookLlama | 3 mēneši atpakaļ | |
RAFT-Chatbot | 3 mēneši atpakaļ | |
agents | 1 mēnesi atpakaļ | |
benchmarks | 3 mēneši atpakaļ | |
book-character-mindmap | 4 nedēļas atpakaļ | |
browser_use | 2 nedēļas atpakaļ | |
coding | 3 mēneši atpakaļ | |
customerservice_chatbots | 2 mēneši atpakaļ | |
email_agent | 3 mēneši atpakaļ | |
github_triage | 3 mēneši atpakaļ | |
long_context | 3 mēneši atpakaļ | |
multilingual | 3 mēneši atpakaļ | |
research_paper_analyzer | 2 nedēļas atpakaļ | |
whatsapp_llama_4_bot | 3 dienas atpakaļ | |
README.md | 1 nedēļu atpakaļ | |
video_summary.ipynb | 3 mēneši atpakaļ |
<a href="https://llama.developer.meta.com/join_waitlist?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=end_to_end"><img src="https://img.shields.io/badge/Llama_API-Join_Waitlist-brightgreen?logo=meta" /></a>
<a href="https://llama.developer.meta.com/docs?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=end_to_end"><img src="https://img.shields.io/badge/Llama_API-Documentation-4BA9FE?logo=meta" /></a>
<a href="https://github.com/meta-llama/llama-models/blob/main/models/?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=end_to_end"><img alt="Llama Model cards" src="https://img.shields.io/badge/Llama_OSS-Model_cards-green?logo=meta" /></a>
<a href="https://www.llama.com/docs/overview/?utm_source=llama-cookbook&utm_medium=readme&utm_campaign=end_to_end"><img alt="Llama Documentation" src="https://img.shields.io/badge/Llama_OSS-Documentation-4BA9FE?logo=meta" /></a>
<a href="https://huggingface.co/meta-llama"><img alt="Hugging Face meta-llama" src="https://img.shields.io/badge/Hugging_Face-meta--llama-yellow?logo=huggingface" /></a>
<a href="https://github.com/meta-llama/synthetic-data-kit"><img alt="Llama Tools Syntethic Data Kit" src="https://img.shields.io/badge/Llama_Tools-synthetic--data--kit-orange?logo=meta" /></a>
<a href="https://github.com/meta-llama/llama-prompt-ops"><img alt="Llama Tools Syntethic Data Kit" src="https://img.shields.io/badge/Llama_Tools-llama--prompt--ops-orange?logo=meta" /></a>
Create a WhatsApp bot that leverages the power of Llama 4 APIs to provide intelligent and interactive responses. This guide will walk you through the process of building a bot that supports text, image, and audio interactions, making it versatile for various use cases.
Get started with building your own WhatsApp bot using Llama 4 APIs today!
Leverage Llama4 Maverick to retrieve references from an arXiv paper and ingest all their content for question-answering.
Get started with analyzing research papers using Llama4 Maverick today!
Use Llama4 Maverick to process entire books at once and visualize character relationships and storylines.
Discover new insights into your favorite books!
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.
The scripts apply a throughput analysis and introduction to lm-evaluation-harness
, a tool to evaluate Llama models including quantized models focusing on quality
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.
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.
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
This step-by-step tutorial shows how to use the WhatsApp Business API to build a Llama 3 enabled WhatsApp chatbot.
This step-by-step tutorial shows how to use the Messenger Platform to build a Llama 3 enabled Messenger chatbot.
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).