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From Software Developer to AI Engineer: Antje Barth
AI Engineer session on From Software Developer to AI Engineer: Antje Barth. It adds practical context for how teams are building and operating AI systems in production.
Research archive, page 37
Browse entries 865–888 of 1025. Return to the first page to search and filter the complete collection.
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Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou
AI Engineer session on Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou. It adds practical context for how teams are building and operating AI systems in production.
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Cooking with fire without burning down the kitchen: Dominik Kundel
AI Engineer session on Cooking with fire without burning down the kitchen: Dominik Kundel. It adds practical context for how teams are building and operating AI systems in production.
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AI Music Generation, From Prompt to Production: Phlo Young
AI Engineer session on AI Music Generation, From Prompt to Production: Phlo Young. It adds practical context for how teams are building and operating AI systems in production.
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What's new from Anthropic and what's next: Alex Albert
AI Engineer session on What's new from Anthropic and what's next: Alex Albert. It adds practical context for how teams are building and operating AI systems in production.
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Navigating AI’s Frontier in 2025 - Grace Isford, Lux Capital
AI Engineer session on Navigating AI’s Frontier in 2025 - Grace Isford, Lux Capital. It adds practical context for how teams are building and operating AI systems in production.
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Optimizing LLMs in Insurance with DSPy: Jeronim Morina
AI Engineer session on Optimizing LLMs in Insurance with DSPy: Jeronim Morina. It adds practical context for how teams are building and operating AI systems in production.
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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.
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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.