AI Explained
Fiddler AI
Categories: Technology
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In this episode, we’re joined by Pradeep Javangula, Chief AI Officer at RagaAI Deploying LLM applications for real-world use cases requires a comprehensive workflow to ensure LLM applications generate high-quality and accurate content. Testing, fixing issues, and measuring impact are critical steps of the workflow to help LLM applications deliver value. Pradeep Javangula, Chief AI Officer at RagaAI will discuss strategies and practical approaches organizations can follow to maintain high performing, correct, and safe LLM applications.
Previous episodes
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8 - Metrics to Detect Hallucinations with Pradeep JavangulaThu, 02 May 2024 - 0h
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7 - AI Safety and Alignment with Amal IyerWed, 06 Mar 2024 - 0h
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6 - Managing the Risks of Generative AI with Kathy BaxterMon, 22 Jan 2024 - 0h
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5 - Legal Frontiers of AI with Patrick HallThu, 21 Dec 2023 - 0h
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4 - Building Generative AI Applications for Production with Chaoyu YangFri, 29 Sep 2023 - 0h
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3 - Graph Neural Networks and Generative AI with Jure LeskovecFri, 01 Sep 2023 - 0h
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2 - Machine Learning for High Risk Applications with Parul PandeyWed, 26 Jul 2023 - 0h
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1 - AI Safety in Generative AI with Peter NorvigThu, 29 Jun 2023 - 0h
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