
Exploring Large Action Models: Business Automation, Practical Applications, and Future Outlook
This episode begins with a welcome and an introduction to Generative AI and Large Action Models (LAMs). It features an interview with Pankaj Chawla, who discusses the role of LAMs in business automation. The episode explores practical applications of LAMs and delves into McKinsey's report on AI agents. Challenges and the future outlook for automated applications using LAMs are also covered. The episode concludes with closing remarks.
Key Points
- Large action models (LAMs) are evolving from large language models (LLMs) by not only generating text but also executing actions within software programs.
- Companies like 3Pillar and Amazon are leveraging LAMs and semi-autonomous agents to automate complex workflows and save significant resources.
- Challenges with LAMs include the need to integrate classical programming techniques to guide probabilistic models and prevent errors, making backoffice applications an ideal testing ground.
Chapters
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Transcript
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