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Open Questions for AI Engineering: Simon Willison
AI Engineer session on Open Questions for AI Engineering: Simon Willison. It adds practical context for how teams are building and operating AI systems in production.
Research archive, page 43
Browse entries 1009–1032 of 1123. Return to the first page to search and filter the complete collection.
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![[Workshop] AI Engineering 101 video thumbnail](https://i.ytimg.com/vi/C0ZUdFg-iTo/hqdefault.jpg)
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[Workshop] AI Engineering 101
AI Engineer session on [Workshop] AI Engineering 101. It adds practical context for how teams are building and operating AI systems in production.
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Retrieval Augmented Generation in the Wild: Anton Troynikov
AI Engineer session on Retrieval Augmented Generation in the Wild: Anton Troynikov. It adds practical context for how teams are building and operating AI systems in production.
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Building Blocks for LLM Systems & Products: Eugene Yan
AI Engineer session on Building Blocks for LLM Systems & Products: Eugene Yan. It adds practical context for how teams are building and operating AI systems in production.
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Supabase Vector: The Postgres Vector database: Paul Copplestone
AI Engineer session on Supabase Vector: The Postgres Vector database: Paul Copplestone. It adds practical context for how teams are building and operating AI systems in production.
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The Weekend AI Engineer: Hassan El Mghari
AI Engineer session on The Weekend AI Engineer: Hassan El Mghari. It adds practical context for how teams are building and operating AI systems in production.
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Harnessing the Power of LLMs Locally: Mithun Hunsur
AI Engineer session on Harnessing the Power of LLMs Locally: Mithun Hunsur. It adds practical context for how teams are building and operating AI systems in production.
![[Workshop] AI Engineering 201: Inference video thumbnail](https://i.ytimg.com/vi/N7lJY5IKVLE/hqdefault.jpg)
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[Workshop] AI Engineering 201: Inference
AI Engineer session on [Workshop] AI Engineering 201: Inference. It adds practical context for how teams are building and operating AI systems in production.
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120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
AI Engineer session on 120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson. It adds practical context for how teams are building and operating AI systems in production.
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Climbing the Ladder of Abstraction: Amelia Wattenberger
AI Engineer session on Climbing the Ladder of Abstraction: Amelia Wattenberger. It adds practical context for how teams are building and operating AI systems in production.
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Building Production-Ready RAG Applications: Jerry Liu
AI Engineer session on Building Production-Ready RAG Applications: Jerry Liu. It adds practical context for how teams are building and operating AI systems in production.
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Pragmatic AI with TypeChat: Daniel Rosenwasser
AI Engineer session on Pragmatic AI with TypeChat: Daniel Rosenwasser. It adds practical context for how teams are building and operating AI systems in production.
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The Hidden Life of Embeddings: Linus Lee
AI Engineer session on The Hidden Life of Embeddings: Linus Lee. It adds practical context for how teams are building and operating AI systems in production.
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The Future of Work: Toran Bruce Richards, Silen Naihin et al
AI Engineer session on The Future of Work: Toran Bruce Richards, Silen Naihin et al. It adds practical context for how teams are building and operating AI systems in production.
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Using AI to Build an Infinite Game: Jeff Schomay
AI Engineer session on Using AI to Build an Infinite Game: Jeff Schomay. It adds practical context for how teams are building and operating AI systems in production.
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GPT Web App Generator - 10,000 apps created in a month: Matija Sosic
AI Engineer session on GPT Web App Generator - 10,000 apps created in a month: Matija Sosic. It adds practical context for how teams are building and operating AI systems in production.
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The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex
AI Engineer session on The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex. It adds practical context for how teams are building and operating AI systems in production.
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See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman
AI Engineer session on See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman. It adds practical context for how teams are building and operating AI systems in production.
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Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan
AI Engineer session on Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan. It adds practical context for how teams are building and operating AI systems in production.
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Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase
AI Engineer session on Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase. It adds practical context for how teams are building and operating AI systems in production.
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Announcing the AI Engineer Network: Benjamin Dunphy
AI Engineer session on Announcing the AI Engineer Network: Benjamin Dunphy. It adds practical context for how teams are building and operating AI systems in production.
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The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer
AI Engineer session on The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer. It adds practical context for how teams are building and operating AI systems in production.
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Building AI For All: Amjad Masad & Michele Catasta
AI Engineer session on Building AI For All: Amjad Masad & Michele Catasta. It adds practical context for how teams are building and operating AI systems in production.
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The 1,000x AI Engineer: Swyx
AI Engineer session on The 1,000x AI Engineer: Swyx. It adds practical context for how teams are building and operating AI systems in production.