Data Analysis with LLMs: Text, tables, images and sound

Explores the multifaceted application of Large Language Models (LLMs) in data analysis. It covers analyzing various data types, including text, structured data (tables and graphs), images, and audio, often detailing how LLMs, like OpenAI's GPT models, can be used either directly on data or indirectly by generating code for external tools. The source also examines optimizing LLM usage for cost and quality through model selection, prompt engineering, and fine-tuning, alongside an overview of alternative LLM providers (Anthropic, Cohere, Google, Hugging Face) and advanced software frameworks like LangChain and LlamaIndex for building complex data analysis agents and applications.

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