Course
Llama 3.2 and Gradio Tutorial: Build a Multimodal Web App
Learn how to use the Llama 3.2 11B vision model with Gradio to create a multimodal web app that functions as a customer support assistant.
Oct 9, 2024 · 10 min read
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Developing AI Applications
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blog
Llama 3.2 Guide: How It Works, Use Cases & More
Meta releases Llama 3.2, which features small and medium-sized vision LLMs (11B and 90B) alongside lightweight text-only models (1B and 3B). It also introduces the Llama Stack Distribution.
Alex Olteanu
8 min
tutorial
Building User Interfaces For AI Applications with Gradio in Python
Learn how to convert technical models into interactive user interfaces with Gradio in Python.
Bex Tuychiev
14 min
tutorial
RAG With Llama 3.1 8B, Ollama, and Langchain: Tutorial
Learn to build a RAG application with Llama 3.1 8B using Ollama and Langchain by setting up the environment, processing documents, creating embeddings, and integrating a retriever.
Ryan Ong
12 min
tutorial
Llama Stack: A Guide With Practical Examples
Llama Stack is a set of standardized tools and APIs developed by Meta that simplifies the process of building and deploying large language model applications.
Hesam Sheikh Hassani
8 min
tutorial
Fine-Tuning Llama 3.1 for Text Classification
Get started with the new Llama models and customize Llama-3.1-8B-It to predict various mental health disorders from the text.
Abid Ali Awan
13 min
code-along
Building Multimodal AI Applications with LangChain & the OpenAI API
Combine the power of text and audio AI models to build a bot that answers questions about YouTube videos.
Korey Stegared-Pace