Your guide to Generative AI with Python is now published! Starting with an introduction to Generative AI, NLP models, LLM (Large Language Models), and LMM (Multimodal Models), we then delve into the pre-trained models from Hugging Face. With tools like OpenAI and LangChain, learn how to manipulate large language models using Python. Get detailed operational guidelines on vector databases and retrieval-augmented generation. This guide also covers agent systems and AI application deployment, helping you master AI technology comprehensively!
• Use pre-trained large language models and NLP models on the Hugging Face and LangChain platforms• Create vector databases and implement retrieval-augmented generation techniques• Build agent systems using crewAI and AutoGen frameworks
[Practical Large Language Models]After configuring large language models, learn how to deploy models using Python. A detailed analysis of various tools: OpenAI, Meta’s Llama model family, Mistral models used via Groq, and open-source large language models. Master core skills such as prompt templates and chaining operations.
[Vector Database Guide]Build and utilize vector databases to store and query vast collections of documents. Fully grasp the entire process from importing raw documents, data processing, to storing in vector databases.
[Retrieval-Augmented Generation Techniques]Combine large-scale pre-trained language models with external knowledge sources through retrieval-augmented generation techniques. Retrieve relevant information from large corpora, integrate it into the generation process, and evaluate the quality and diversity of the generated text.
[Agent System Development]Use AI models to build agents that autonomously achieve goals. Explore three major Python toolkits: crewAI, AutoGen, and LangChain.
Technical Highlights:• Natural Language Processing (NLP) models• Large Language Models (LLM)• Pre-trained models• Prompt engineering• Vector databases• Retrieval-Augmented Generation (RAG)• Agent systems• OpenAI• LangChain• Hugging Face• crewAI• AutoGen