freeCodeCamp

Generative AI is transforming AI by enabling machines to produce text, images, and audio. A new 21-hour course on the freeCodeCamp.org YouTube channel offers a comprehensive guide for developers, covering foundational concepts, advanced methods, hands-on projects, and deployment. Key tools include Hugging Face, OpenAI, LangChain, and vector databases, with practical applications like chatbots and text summarizers. The course also delves into Retrieval-Augmented Generation (RAG) and deploying AI apps on Google Cloud and AWS.

Learn Generative AI for Developers

Sam Witteveen

Ollama and Hugging Face have announced a collaboration allowing access to GGUF models on Hugging Face's hub, totaling around 45,000 models. Users can easily run these models using the Ollama run command, with options to choose different levels of model quantization (from 2-bit to 8-bit). The post provides guidance on selecting the appropriate quantization format based on performance and quality trade-offs. This new feature streamlines the process of deploying diverse models quickly and efficiently.

Ollama + HuggingFace - 45,000 New Models

Hugging Face is an AI research organization and developer community known for its natural language processing (NLP) models, libraries, and tools for building and deploying conversational AI applications and solutions. It provides features such as pre-trained models, tokenizers, and transformers for various NLP tasks, such as text generation, sentiment analysis, and language translation. Readers can explore Hugging Face's models, APIs, and developer resources for building AI-powered chatbots, virtual assistants, and language understanding systems, leveraging its open-source ecosystem and community contributions for accelerating NLP research and development.

Best of Hugging Face — October 2024