Best of Llama — 2024
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freeCodeCamp·2y
Learn LangChain and Gen AI by Building 6 Projects
Learn how to build six end-to-end projects using LangChain and various LLMs in this course on the freeCodeCamp.org YouTube channel. The course covers the integration of LangChain with GPT-4, Google Gemini Pro, and Llama 2, enabling the creation of practical, real-world applications.
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Machine Learning Mastery·2y
5 Essential Free Tools for Getting Started with LLMs
This post introduces 5 essential free tools for getting started with LLMs: Transformers, LlamaIndex, Langchain, Ollama, and Llamafile. Each tool has its own unique set of tasks, advantages, and features to help beginners grasp the subtleties of LLM development and interact with it.
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GoPenAI·2y
Building a RAG Chatbot using Llamaindex, Groq with Llama3 & Chainlit
Retrieval Augmented Generation (RAG) is a language model that combines retrieval-based and generation-based approaches to generate high-quality text. It has advantages such as improved accuracy, flexibility, and scalability. RAG can be used for question answering, text summarization, text generation, and chatbots.
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Community Picks·2y
Using LlamaIndex with Postgres to Build your own Reverse Image Search Engine
Learn to build a reverse image search engine using Astro, LlamaIndex, and serverless Postgres. The guide covers creating vector embeddings with ClipEmbeddings, setting up a server-side Postgres database, and deploying the application on Vercel. You'll create API endpoints for indexing and searching images and build a user interface to interact with the search functionality.
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Towards AI·2y
Build Rag With Llamaindex To Make LLM Answer About Yourself, Like in an Interview or About General Information
Learn how to build a chatbot using RAG (Retrieved Augmentation Generation) and Llamaindex. The article discusses the steps involved in building a chat engine and provides code examples.
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neo4j·2y
Unleashing the Power of NLP with LlamaIndex and Neo4j: A Starter Kit
Unlock the true potential of natural language processing with the LlamaIndex Neo4j Integration Starter Kit. Learn how to store and query documents, utilize LlamaIndex's powerful indexing capabilities, and leverage the graph database querying of Neo4j. The starter kit also includes a FastAPI application for interactive NLP applications.
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We Are .NET·2y
Learning AI function calling in C# with Llama 3.2 SLM and Ollama running on your machine
Learn how to integrate AI function calling into your C# applications using Llama 3.2 SLM and Ollama. This guide explains core concepts, setting up the environment, and provides a practical example using a C# source generator. Enhance your projects by enabling AI models to interact with external tools or APIs, performing tasks that require real-time data or specific computations.
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Venture Beat·2y
Browser alternatives Brave, Arc, add new AI integrations
Two privacy-focused web browsers, Arc and Brave, have announced new generative AI powered features. Arc has added the Perplexity generative AI search engine as a default browser search bar option, while Brave's AI assistant, Leo, is being upgraded with Mixtral 8x7B, an open source LLM developed by Mistral.
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Hacker News·2y
anordin95/run-llama-locally: Run and explore Llama models locally with minimal dependencies on CPU
The post discusses how to run Llama models locally with minimal dependencies, focusing on using 'torch', 'fairscale', and 'blobfile'. It provides steps to download and run the models, and compares two scripts: 'minimal_run_inference.py' for simplicity, and 'run_inference.py' for detailed comments and beam search implementation. It also addresses memory usage and performance differences between CPU and Apple's MPS GPU.
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