New Machina delivers in-depth explorations of machine learning and AI applications within the AWS cloud. The channel offers tutorials, comparisons, and insights into tools like LangChain, Chroma, Pinecone, and Hugging Face, targeting developers and data enthusiasts.
Learn how to leverage the Hugging Face platform for AI development and deployment, accessing its vast repository of pre-trained models and datasets. The video showcases how to utilize Hugging Face's Spaces feature to build, deploy, and share your own machine learning applications, along with its open-source models and libraries.
Learn how to build a Retrieval Augmented Generation (RAG) system to improve LLM responses using proprietary data. The process involves creating embeddings of your data using an embedding LLM, storing them in a vector database (like Pinecone), and then using Langchain (in Python) to query the database to enhance LLM prompts for more accurate and context-specific outputs.
