Jeff Tang
946d73dba1
replaced the nba playoff example with The paper Attention Is All You Need in knowledge_graphs_with_structured_outputs
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9 月之前 | |
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| .. | ||
| datasets | 10 月之前 | |
| images | 10 月之前 | |
| README.md | 9 月之前 | |
| knowledge_graphs_with_structured_outputs.ipynb | 9 月之前 | |
| llama_contextual_RAG.ipynb | 9 月之前 | |
| multimodal_RAG_with_nvidia_investor_slide_deck.ipynb | 9 月之前 | |
| pdf_to_podcast_using_llama_on_together.ipynb | 10 月之前 | |
| structured_text_extraction_from_images.ipynb | 10 月之前 | |
| text_RAG_using_llama_on_together.ipynb | 10 月之前 | |
README.md
Building LLM apps using Llama on Together AI
This folder contains demos on how to use Llama on Together AI to quickly build LLM apps.
## Prerequisites
To make the most of the examples in this cookbook, you'll need a Together AI API key (sign up for free here).
While the code examples are primarily written in Python/JS, the concepts can be adapted to any programming language that supports interaction with the Together API.
Cookbooks
| Cookbook | Description | Open |
|---|---|---|
| MultiModal RAG with Nvidia Investor Slide Deck | Multimodal RAG using Nvidia investor slides. |   |
| Llama Contextual RAG | Implementation of Contextual Retrieval using Llama models. | |
| Llama PDF to podcast | Generate a podcast from PDF content using Llama. | |
| Knowledge Graphs with Structured Outputs | Get Llama to generate knowledge graphs. | |
| Structured Text Extraction from Images | Extract structured text from images. | |
| Text RAG | Implement text-based Retrieval-Augmented Generation. | |
Explore Further
Looking for more resources to enhance your experience with open source models? Check out these helpful links:
Additional Resources
- Together AI Research: Explore papers and technical blog posts from our research team.
- Together AI Blog: Explore technical blogs, product announcements and more on our blog.