The Current State of Agentic AI
In this article, you will learn how agentic AI architecture has evolved by mid-2026, including the shift away from orchestrated reasoning loops, the rise of…
Environment-free Synthetic Data Generation for API-Calling Agents
Training API-calling large language model (LLM) agents demands massive amounts of high-quality trajectories. However, collecting such data at scale typically requires fully implemented environments with executable APIs and realistic, pre-populated backend databases, creating a major bottleneck for scalability. To overcome this, we propose an environment-free synthetic data generation approach that leverages LLMs as on-the-fly digital …
Read more “Environment-free Synthetic Data Generation for API-Calling Agents”
Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova
When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data is often impractical and can be prohibitively expensive. As a result, you might choose to skip reasoning during SFT and train with only inputs and outputs. However, reasoning is a key capability of the Amazon Nova …
Read more “Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova”
Why AI apps fail in production (And how Google solved it)
We are living in the golden age of the weekend AI side project. Thanks to agentic engineering and LLMs, the time to go from a blank IDE to a functional local application has dropped from quarters to hours. You can build your wildest ideas over a cup of coffee. But inside an enterprise ecosystem with …
Read more “Why AI apps fail in production (And how Google solved it)”
Is the All-New Range Rover GT Stepping on Jaguar’s Tail?
It’s “the most car-like Range Rover ever created,” but will this all-electric grand tourer spoil Jaguar’s Type 01 party?
AI detects ‘personalities’ of individual 3D printers to cut manufacturing errors
Imagine buying three identical 3D printers. Despite being the same brand, the same model and even having similar serial numbers, each machine may behave slightly differently. Over time and at scale, these differences can accumulate into significant manufacturing defects.
Building Agentic Workflows in Python with LangGraph
In this article, you will learn how to build a complete agentic workflow in Python with LangGraph, from a single model call to a tool-using…
RayRoPE: Projective Ray Positional Encoding for Multi-View Attention
We study positional encodings for multi-view transformers that process tokens from a set of posed input images, and seek a mechanism that encodes patches uniquely, allows SE(3)-invariant attention with multi-frequency similarity, and can be adaptive to the geometry of the underlying scene. We find that prior (absolute or relative) encoding schemes for multi-view attention do …
Read more “RayRoPE: Projective Ray Positional Encoding for Multi-View Attention”
Custom OS installation now available on AWS DeepRacer devices
With the stock firmware and software, developers couldn’t modify their AWS DeepRacer devices to use the latest operating systems. Now, developers can upgrade or install a custom operating system (OS) by using a newly released bootloader, which extends the life of these hardware devices. AWS DeepRacer devices are fully autonomous 1/18th scale race cars driven …
Read more “Custom OS installation now available on AWS DeepRacer devices”
The Galaxy Card Is Samsung’s Answer to the Apple Card
Directly added to your Samsung Wallet account, it’s yet another cash-back credit card, this time tailored for Samsung stans.