Browse entries 793–816 of 1034. Return to the first page to search and filter the complete collection.
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AI Engineer session on New York Times' Connections: A Case Study on NLP in Word Games, presented by Shafik Quoraishee, NYT Games. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Transforming search and discovery using LLMs, presented by Tejaswi & Vinesh, Instacart. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building a 10 person unicorn - Max Brodeur-Urbas, Gumloop. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Data is Your Differentiator: Building Secure and Tailored AI Systems, presented by Mani Khanuja, AWS. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on 360Brew: LLM-based Personalized Ranking and Recommendation - Hamed and Maziar, LinkedIn AI. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on CI in the Era of AI: From Unit Tests to Stochastic Evals, presented by Nathan Sobo, Zed. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Mastering Engineering Flow with Windsurf - Eashan Sinha, Windsurf. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on RAG in 2025: State of the Art and the Road Forward, presented by Tengyu Ma, MongoDB (acq. Voyage AI). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Billable Hour is Dead; Long Live the Billable Hour, presented by Kevin Madura + Mo Bhasin, Alix Partners. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Practical GraphRAG: Making LLMs smarter with Knowledge Graphs, presented by Michael, Jesus, and Stephen, Neo4j. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on What We Learned from Using LLMs in Pinterest, presented by Mukuntha Narayanan, Han Wang, Pinterest. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on 2025 in LLMs so far, illustrated by Pelicans on Bicycles, presented by Simon Willison. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How LLMs work for Web Devs: GPT in 600 lines of Vanilla JS - Ishan Anand. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on ComfyUI Full Workshop, presented by first workshop from ComfyAnonymous himself!. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on How Intuit uses LLMs to explain taxes to millions of taxpayers - Jaspreet Singh, Intuit. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Excalidraw: AI and Human Whiteboarding Partnership - Christopher Chedeau. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Evals 101, presented by Doug Guthrie, Braintrust. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Turning Fails into Features: Zapier’s Hard-Won Eval Lessons, presented by Rafal Willinski, Vitor Balocco, Zapier. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on GraphRAG methods to create optimized LLM context windows for Retrieval, presented by Jonathan Larson, Microsoft. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Design like Karpathy is watching, presented by Zeke Sikelianos, Replicate. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments - Harald Kirshner,. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Why should anyone care about Evals?, presented by Manu Goyal, Braintrust. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Eyes Are The (Context) Window to The Soul: How Windsurf Gets to Know You, presented by Sam Fertig, Windsurf. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Prompt Engineering is Dead, presented by Nir Gazit, Traceloop. It adds practical context for how teams are building and operating AI systems in production.