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Judging LLMs: Alex Volkov
AI Engineer session on Judging LLMs: Alex Volkov. It adds practical context for how teams are building and operating AI systems in production.
Research archive, page 49
Browse entries 1153–1176 of 1470. Return to the first page to search and filter the complete collection.
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Navigating Challenges and Technical Debt in LLMs Deployment: Ahmed Menshawy
AI Engineer session on Navigating Challenges and Technical Debt in LLMs Deployment: Ahmed Menshawy. It adds practical context for how teams are building and operating AI systems in production.
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Hiring & Building an AI Engineering Team: Dr. Bryan Bischof
AI Engineer session on Hiring & Building an AI Engineering Team: Dr. Bryan Bischof. It adds practical context for how teams are building and operating AI systems in production.
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We accidentally made an AI platform: Jamie Turner
AI Engineer session on We accidentally made an AI platform: Jamie Turner. It adds practical context for how teams are building and operating AI systems in production.
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RAG for VPs of AI: Jerry Liu
AI Engineer session on RAG for VPs of AI: Jerry Liu. It adds practical context for how teams are building and operating AI systems in production.
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Function Calling is All You Need — Full Workshop, with Ilan Bigio of OpenAI
AI Engineer session on Function Calling is All You Need, presented by Full Workshop, with Ilan Bigio of OpenAI. It adds practical context for how teams are building and operating AI systems in production.
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OpenLLMetry is all you need
AI Engineer session on OpenLLMetry is all you need. It adds practical context for how teams are building and operating AI systems in production.
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Insights from Snorkel AI running Azure AI Infrastructure: Humza Iqbal and Lachlan Ainley
AI Engineer session on Insights from Snorkel AI running Azure AI Infrastructure: Humza Iqbal and Lachlan Ainley. It adds practical context for how teams are building and operating AI systems in production.
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Anchoring Enterprise GenAI with Knowledge Graphs: Jonathan Lowe (Pfizer), Stephen Chin (Neo4j)
AI Engineer session on Anchoring Enterprise GenAI with Knowledge Graphs: Jonathan Lowe (Pfizer), Stephen Chin (Neo4j). It adds practical context for how teams are building and operating AI systems in production.
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Iterating on LLM apps at scale Learnings from Discord: Ian Webster
AI Engineer session on Iterating on LLM apps at scale Learnings from Discord: Ian Webster. It adds practical context for how teams are building and operating AI systems in production.
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Where AI is superhuman: The right jobs to automate with LLMs
AI Engineer session on Where AI is superhuman: The right jobs to automate with LLMs. It adds practical context for how teams are building and operating AI systems in production.
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Which Jobs Can Be Replaced Today: Fryderyk Wiatrowski and Peter Albert
AI Engineer session on Which Jobs Can Be Replaced Today: Fryderyk Wiatrowski and Peter Albert. It adds practical context for how teams are building and operating AI systems in production.
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Git push get an AI API: Ryan Fox-Tyler
AI Engineer session on Git push get an AI API: Ryan Fox-Tyler. It adds practical context for how teams are building and operating AI systems in production.
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The Making of Devin by Cognition AI: Scott Wu
AI Engineer session on The Making of Devin by Cognition AI: Scott Wu. It adds practical context for how teams are building and operating AI systems in production.
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Stop Guessing: Build Robust AI with Layered CoT
AI Engineer session on Stop Guessing: Build Robust AI with Layered CoT. It adds practical context for how teams are building and operating AI systems in production.
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The Devops Engineer Who Never Sleeps — Diamond Bishop, Datadog
AI Engineer session on The Devops Engineer Who Never Sleeps, presented by Diamond Bishop, Datadog. It adds practical context for how teams are building and operating AI systems in production.
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Anthropic in the Enterprise — Alexander Bricken & Joe Bayley
AI Engineer session on Anthropic in the Enterprise, presented by Alexander Bricken & Joe Bayley. It adds practical context for how teams are building and operating AI systems in production.
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Lessons from building GenAI based applications — Juan Peredo
AI Engineer session on Lessons from building GenAI based applications, presented by Juan Peredo. It adds practical context for how teams are building and operating AI systems in production.
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RAG at scale: production ready GenAI apps with Azure AI Search
AI Engineer session on RAG at scale: production ready GenAI apps with Azure AI Search. It adds practical context for how teams are building and operating AI systems in production.
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AI Templates: Gabriela and Aishwarya
AI Engineer session on AI Templates: Gabriela and Aishwarya. It adds practical context for how teams are building and operating AI systems in production.
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No more bad outputs with structured generation: Remi Louf
AI Engineer session on No more bad outputs with structured generation: Remi Louf. It adds practical context for how teams are building and operating AI systems in production.
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Second Order Effects of AI: Cheng Lou
AI Engineer session on Second Order Effects of AI: Cheng Lou. It adds practical context for how teams are building and operating AI systems in production.
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Going beyond RAG: Extended Mind Transformers - Phoebe Klett
AI Engineer session on Going beyond RAG: Extended Mind Transformers - Phoebe Klett. It adds practical context for how teams are building and operating AI systems in production.
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Mission-Critical Evals at Scale (Learnings from 100k medical decisions)
AI Engineer session on Mission-Critical Evals at Scale (Learnings from 100k medical decisions). It adds practical context for how teams are building and operating AI systems in production.