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Scaling AI-Assisted Research

In the rapidly evolving field of investment research, artificial intelligence and large language models are revolutionizing data analysis.

This report provides an in-depth exploration of these innovative technologies and their role in enhancing the efficiency of analysts. Explore cost savings potential, time efficiencies, and fine-tuning strategies for optimal results.



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What's Inside

  • An exploration of the practical applications of AI in investment research, with a focus on Retrieval Augmented Generation (RAG) systems 
  • An analysis of the challenges and limitations of large languages models (LLMs), and the prevailing need for human oversight. 

  • A discussion on the potential of automated evaluation as well as how it can provide a scalable and cost-efficient approach to adopt AI technology in investment research.  

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