AI in Finance is a rapidly evolving field with the potential to revolutionize the financial industry. In a three-part series, Christophe Atten provides valuable insights into the world of Language Model (LLM) technology and its application in the finance sector.
In the first story of the series, Atten introduces TinyLLMs in Finance, shedding light on their significance and potential impact on the financial domain. The second installment delves into the practical implementation of TinyLLMs in Finance, offering a comprehensive guide and structured code for seamless reproduction of the examples.
Now, in the final story of the sequence, Atten focuses on the crucial decision-making process of selecting the most effective LLMs or TinyLLMs for finance projects. This includes a detailed discussion on the suitability of different LLMs for specific projects and the considerations when choosing between context-based learning (RAG) and fine-tuning.
Atten’s expertise in AI and finance, combined with his role as an editor for AI in Finance, makes him a valuable resource for professionals and enthusiasts in the field. His dedication to providing reader-supported content underscores the commitment to delivering high-quality, informative material.
