AI Engineering: From Agents to LLM OS (plus demos from AI Engineer Singapore meetup)
i gave a talk at the recent AI Eng Singapore meetup (https://www.latent.space/p/community, scroll down) about the past 1 year in agents thinking and the bui...
Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail. - ...
How to build your own Perplexity for any dataset - Learnings from building “Ask Hacker Search”
How does something like Perplexity work, and how do we make our own? And having done that, what turned out to be the most interesting or challenging parts?
Why I'm Staying Away from Crew AI: My Honest Opinion
Crew AI is not suitable for production use cases. I’ll be going through why I believe this is the case and what you should do instead when building your own ...
The unreasonable effectiveness of embeddingsOr how I learned to stop worrying and love the hallucinations.This week I dived deep into vector databases. My go...
When evaluating RAG, it's not just the final answer that is worth evaluating
Evaluating intermediate steps (like query rephrasing and retrieved documents) is also super important when trying to make sure RAG works
Goo tutorial by on how to do this!
— Harrison Chase (@hwchase17)
Automating Pull Request Reviews With CodiumAI PR-Agent
Motivation If you are a developer, you know how much time you spend on pull request reviews. We all try to write the best code we can. When we are done, we ask our team members to review our code. Sometimes, making a pull request is more complex than it sounds. Over time, teams learn that pull requests need to be standardized to speed things up and improve communication. That is why we have a pull request template, for example.