Browse entries 1105–1128 of 1407. Return to the first page to search and filter the complete collection.
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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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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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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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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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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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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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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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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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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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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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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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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 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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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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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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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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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.
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AI Engineer session on AI Engineering Without Borders, presented by swyx. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Open Challenges for AI Engineering: 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 Zapier Builds AI Products and Features with the Help of Braintrust: Ankur Goyal & Olmo Maldonado. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Realtime Data Connectivity for AI: Tanmai Gopal. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building with Anthropic Claude: Prompt Workshop with Zack Witten. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Hierarchy of Needs for Training Dataset Development: Chang She and Noah Shpak. It adds practical context for how teams are building and operating AI systems in production.
![Building an AI assistant that makes phone calls [Convex Workshop] video thumbnail](https://i.ytimg.com/vi/idDnpGqJd80/hqdefault.jpg)
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AI Engineer session on Building an AI assistant that makes phone calls [Convex Workshop]. It adds practical context for how teams are building and operating AI systems in production.