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Harnessing Python 3.11 and Python Libraries for LLM Development

  • Dilyan Grigorov

摘要

In the ever-evolving landscape of artificial intelligence, large language models (LLMs) have emerged as powerful tools for a variety of applications, from natural language processing to sophisticated AI-driven solutions. The advent of Python 3.11 brings a host of new features and optimizations that significantly enhance the development of these complex models. Coupled with an array of robust Python libraries, this chapter delves into the practical aspects of leveraging Python 3.11 to develop LLMs-based applications effectively with platforms like LangChain, Hugging Face, Pinecone, OpenAI, Cohere, and Lamini.ai.