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One thing enterprise AI projects need to succeed? Community.
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A tartalmat a Stack Overflow and The Stack Overflow Podcast biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Stack Overflow and The Stack Overflow Podcast vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
In this episode of Leaders of Code, Stack Overflow CEO Prashanth Chandrasekar chats with Ramprasad Rai, VP of Platform Engineering at JPMorgan Chase & Co., about the unique challenges of implementing AI in an enterprise environment. They discuss how organizations can balance AI-driven productivity with strict compliance and security requirements by leveraging a community-driven knowledge system that grounds probabilistic AI tools in internal, trusted expertise.
The discussion also:
- Explores why AI models often hallucinate in enterprise environments due to a lack of internal context.
- Highlights how Stack Overflow’s structured Q&A data provides ideal fine-tuning material for the next generation of AI models.
Notes
- Connect with Ramprasad Rai on LinkedIn.
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