
Agents on live hardware: reason where you must, engineer everywhere else
Five million signals a day, down to five alerts. How we used agents two different ways on one anomaly detection problem, and where the line moves over time.
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Five million signals a day, down to five alerts. How we used agents two different ways on one anomaly detection problem, and where the line moves over time.
In this article, we are going to understand how this connection works and why a model needs help understanding the order of the words even when the words already arrive in an ordered list.
Something unusual happened in a public Sudoku experiment early this year.
In this article, we’ll learn some key strategies that can help a developer make the right boundary-related decisions for the systems they are working on.
P99 CONF is the technical conference for anyone who obsesses over high-performance, low-latency applications. Leading engineers from today’s most impressive gamechangers will be sharing 60+ talks on topics like Rust, Go, Zig, distributed data systems, Kubernetes, and AI/ML.
When LLMs sometimes agree with incorrect claims, it is mostly because their training rewards such behaviour. This reward system is built on several things at once, such as accuracy, helpfulness, politeness, and responses that people like.
In this article, we’ll look at why LLMs have this bias against middle information.
Secure your spot in AI Evals in Practice. Enrollment closes in just 3 days! If you’ve been thinking about joining, now’s the time.
Secure shell is a method to access a remote machine securely over an unsecured network. It starts with a TCP connection from the SSH client to the remote machine (SSH server).
In this article, we will look at why state is the hardest thing in software development and the multiple strategies that developers can use to manage it.
In this article, we will look at how the DoorDash engineering team built this gateway and the decisions they made.
In this article, we will look at why this problem of hallucinations happens with LLMs and the techniques that can help make LLMs more dependable for answering.
I attended a MPP event at Stripe HQ, where I spoke with Emily Sands and Matt Schulman from Stripe, along with Brendan Ryan from Tempo.
Jev is TypeSafe AI’s first System One Model. It is 100x faster and cheaper than frontier LLMs.
Rebuild YouTube with AI, taught by a former YouTube engineer, kicks off on Saturday, September 26. Enrollment closes in 24 hours.
In this article, we are going to look at the entire data lifecycle from creation to deletion and the decisions that need to be taken at each step.
In this article, we are going to look at the various strategies to customize and fine-tune a model.
To understand how it all works end to end, we met with engineers on the GPT Voice team, Zahan Malkani and Justin Uberti (who created WebRTC).
A large AI model can run on modest hardware only by reducing the memory it occupies, reducing the calculations it performs, or moving some work to slower hardware.
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