How AI Is Built

Por: Nicolay Gerold
Real engineers. Real deployments. Zero hype. We interview the top engineers who actually put AI in production. Learn what the best engineers have figured out through years of experience. Hosted by Nicolay Gerold, CEO of Aisbach and CTO at Proxdeal and Multiply Content.
63 episodios disponibles

Latest episodes of the podcast How AI Is Built

#056 Building Solo: How One Engineer Uses AI Agents to Ship Production Code 11/09/2025
#055 Embedding Intelligence: AI's Move to the Edge 13/08/2025
#054 Building Frankenstein Models with Model Merging and the Future of AI 29/07/2025
#053 AI in the Terminal: Enhancing Coding with Warp 23/07/2025
#052 Don't Build Models, Build Systems That Build Models 01/07/2025
#051 Build systems that can be debugged at 4am by tired humans with no context 17/06/2025
#050 Bringing LLMs to Production: Delete Frameworks, Avoid Finetuning, Ship Faster 27/05/2025
#050 TAKEAWAYS Bringing LLMs to Production: Delete Frameworks, Avoid Finetuning, Ship Faster 27/05/2025
#049 BAML: The Programming Language That Turns LLMs into Predictable Functions 20/05/2025
#049 TAKEAWAYS BAML: The Programming Language That Turns LLMs into Predictable Functions 20/05/2025
#048 TAKEAWAYS Why Your AI Agents Need Permission to Act, Not Just Read 13/05/2025
#048 Why Your AI Agents Need Permission to Act, Not Just Read 11/05/2025
#047 Architecting Information for Search, Humans, and Artificial Intelligence 27/03/2025
#046 Building a Search Database From First Principles 13/03/2025
#045 RAG As Two Things - Prompt Engineering and Search 06/03/2025
#044 Graphs Aren't Just For Specialists Anymore 28/02/2025
#043 Knowledge Graphs Won't Fix Bad Data 20/02/2025
#042 Temporal RAG, Embracing Time for Smarter, Reliable Knowledge Graphs 13/02/2025
#041 Context Engineering, How Knowledge Graphs Help LLMs Reason 06/02/2025
#040 Vector Database Quantization, Product, Binary, and Scalar 31/01/2025
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