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#056 Building Solo: How One Engineer Uses AI Agents to Ship Production Code
Nicolay here,Most AI coding conversations focus on which model to use. This one focuses on workflow - the specific commands, git strategies, and review processes that let one engineer ship production…
#055 Embedding Intelligence: AI's Move to the Edge
Nicolay here,while everyone races to cloud-scale LLMs, Pete Warden is solving AI problems by going completely offline. No network connectivity required.Today I have the chance to talk to Pete Warden,…
#054 Building Frankenstein Models with Model Merging and the Future of AI
Nicolay here,most AI conversations focus on training bigger models with more compute. This one explores the counterintuitive world where averaging weights from different models creates better…
#053 AI in the Terminal: Enhancing Coding with Warp
Nicolay here,Most AI coding tools obsess over automating everything. This conversation focuses on the rightbalance between human skill and AI assistance - where manual context beats web search every…
#052 Don't Build Models, Build Systems That Build Models
Nicolay here,Today I have the chance to talk to Charles from Modal, who went from doing a PhD on neural network optimization in the 2010s - when ML engineers could build models with a soldering iron…
#051 Build systems that can be debugged at 4am by tired humans with no context
Nicolay here,Today I have the chance to talk to Charity Majors, CEO and co-founder of Honeycomb, who recently has been writing about the cost crisis in observability."Your source of truth is…
#050 Bringing LLMs to Production: Delete Frameworks, Avoid Finetuning, Ship Faster
Nicolay here,Most AI developers are drowning in frameworks and hype. This conversation is about cutting through the noise and actually getting something into production.Today I have the chance to…
#050 TAKEAWAYS Bringing LLMs to Production: Delete Frameworks, Avoid Finetuning, Ship Faster
Nicolay here,Most AI developers are drowning in frameworks and hype. This conversation is about cutting through the noise and actually getting something into production.Today I have the chance to…
#049 BAML: The Programming Language That Turns LLMs into Predictable Functions
Nicolay here,I think by now we are done with marveling at the latest benchmark scores of the models. It doesn’t tell us much anymore that the latest generation outscores the previous by a few basis…
#049 TAKEAWAYS BAML: The Programming Language That Turns LLMs into Predictable Functions
Nicolay here,I think by now we are done with marveling at the latest benchmark scores of the models. It doesn’t tell us much anymore that the latest generation outscores the previous by a few basis…
#048 TAKEAWAYS Why Your AI Agents Need Permission to Act, Not Just Read
Nicolay here,most AI conversations obsess over capabilities. This one focuses on constraints - the right ones that make AI actually useful rather than just impressive demos.Today I have the chance to…
#048 Why Your AI Agents Need Permission to Act, Not Just Read
Nicolay here,most AI conversations obsess over capabilities. This one focuses on constraints - the right ones that make AI actually useful rather than just impressive demos.Today I have the chance to…
#047 Architecting Information for Search, Humans, and Artificial Intelligence
Today on How AI Is Built, Nicolay Gerold sits down with Jorge Arango, an expert in information architecture. Jorge emphasizes that aligning systems with users' mental models is more important than…
#046 Building a Search Database From First Principles
Modern search is broken. There are too many pieces that are glued together.Vector databases for semantic searchText engines for keywordsRerankers to fix the resultsLLMs to understand queriesMetadata…
#045 RAG As Two Things - Prompt Engineering and Search
John Berryman moved from aerospace engineering to search, then to ML and LLMs. His path: Eventbrite search → GitHub code search → data science → GitHub Copilot. He was drawn to more math and ML…
#044 Graphs Aren't Just For Specialists Anymore
Kuzu is an embedded graph database that implements Cypher as a library.It can be easily integrated into various environments—from scripts and Android apps to serverless platforms.Its design supports…
#043 Knowledge Graphs Won't Fix Bad Data
Metadata is the foundation of any enterprise knowledge graph.By organizing both technical and business metadata, organizations create a “brain” that supports advanced applications like AI-driven data…
#042 Temporal RAG, Embracing Time for Smarter, Reliable Knowledge Graphs
Daniel Davis is an expert on knowledge graphs. He has a background in risk assessment and complex systems—from aerospace to cybersecurity. Now he is working on “Temporal RAG” in TrustGraph.Time is a…
#041 Context Engineering, How Knowledge Graphs Help LLMs Reason
Robert Caulk runs Emergent Methods, a research lab building news knowledge graphs. With a Ph.D. in computational mechanics, he spent 12 years creating open-source tools for machine learning and data…
#040 Vector Database Quantization, Product, Binary, and Scalar
When you store vectors, each number takes up 32 bits.With 1000 numbers per vector and millions of vectors, costs explode.A simple chatbot can cost thousands per month just to store and search through…
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How AI Is Built has published 63 episodes since April 2024, covering topics in Technology.
How AI Is Built is currently dormant with new episodes weekly. Average episode length is 45m.
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