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datasets | 1 mese fa | |
images | 1 mese fa | |
README.md | 1 mese fa | |
knowledge_graphs_with_structured_outputs.ipynb | 1 mese fa | |
llama_contextual_RAG.ipynb | 1 mese fa | |
multimodal_RAG_with_nvidia_investor_slide_deck.ipynb | 1 mese fa | |
pdf_to_podcast_using_llama_on_together.ipynb | 1 mese fa | |
structured_text_extraction_from_images.ipynb | 1 mese fa | |
text_RAG_using_llama_on_together.ipynb | 1 mese fa |
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.
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. |
Looking for more resources to enhance your experience with open source models? Check out these helpful links: