Building the Product Knowledge Graph at Amazon with Luna Dong - #457

Building the Product Knowledge Graph at Amazon with Luna Dong - #457

Today we’re joined by Luna Dong, Sr. Principal Scientist at Amazon. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throughout it. We also talk through the differences and synergies between the media and retail product knowledge graph use cases and how ML comes into play in search and recommendation use cases. Finally, we explore the similarities to relational databases and efforts to standardize the product knowledge graphs across the company and broadly in the research community. The complete show notes for this episode can be found at https://twimlai.com/go/457.

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Automated Reasoning to Prevent LLM Hallucination with Byron Cook - #712

Automated Reasoning to Prevent LLM Hallucination with Byron Cook - #712

Today, we're joined by Byron Cook, VP and distinguished scientist in the Automated Reasoning Group at AWS to dig into the underlying technology behind the newly announced Automated Reasoning Checks fe...

9 Dec 202456min

AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - #711

AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - #711

Today, we're joined by Arash Behboodi, director of engineering at Qualcomm AI Research to discuss the papers and workshops Qualcomm will be presenting at this year’s NeurIPS conference. We dig into th...

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AI for Network Management with Shirley Wu - #710

AI for Network Management with Shirley Wu - #710

Today, we're joined by Shirley Wu, senior director of software engineering at Juniper Networks to discuss how machine learning and artificial intelligence are transforming network management. We explo...

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Why Your RAG System Is Broken, and How to Fix It with Jason Liu - #709

Why Your RAG System Is Broken, and How to Fix It with Jason Liu - #709

Today, we're joined by Jason Liu, freelance AI consultant, advisor, and creator of the Instructor library to discuss all things retrieval-augmented generation (RAG). We dig into the tactical and strat...

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An Agentic Mixture of Experts for DevOps with Sunil Mallya - #708

An Agentic Mixture of Experts for DevOps with Sunil Mallya - #708

Today we're joined by Sunil Mallya, CTO and co-founder of Flip AI. We discuss Flip’s incident debugging system for DevOps, which was built using a custom mixture of experts (MoE) large language model ...

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Building AI Voice Agents with Scott Stephenson - #707

Building AI Voice Agents with Scott Stephenson - #707

Today, we're joined by Scott Stephenson, co-founder and CEO of Deepgram to discuss voice AI agents. We explore the importance of perception, understanding, and interaction and how these key components...

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Is Artificial Superintelligence Imminent? with Tim Rocktäschel - #706

Is Artificial Superintelligence Imminent? with Tim Rocktäschel - #706

Today, we're joined by Tim Rocktäschel, senior staff research scientist at Google DeepMind, professor of Artificial Intelligence at University College London, and author of the recently published popu...

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ML Models for Safety-Critical Systems with Lucas García - #705

ML Models for Safety-Critical Systems with Lucas García - #705

Today, we're joined by Lucas García, principal product manager for deep learning at MathWorks to discuss incorporating ML models into safety-critical systems. We begin by exploring the critical role o...

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