How to Make AI Practical in M&A
M&A Science
Exploring Agents in AI and M&A: Evolution, Capabilities, and Practical Use Cases
The chapter delves into the concept of agents in generative AI tools, discussing their evolution, capabilities, and potential for higher autonomy and decision-making. It explores how agents can plan, reason, and enhance large language models, touching on the integration of tools within AI models. Additionally, the chapter focuses on practical use cases for AI in M&A, including retrieval augmented generation, summarization, classification, and sim-to-real training, highlighting the importance of leveraging third-party partners for various tasks.
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