Agents

, coding agents have grow to be an increasing number of prevalent. Initially, coding agents could only auto-complete specific lines of code. We then experienced how agents could interact with a single file and...

Optimizing Multimodal Agents Multimodal AI agents, those who can process text and pictures (or other media), are rapidly entering real-world domains like autonomous driving, healthcare, and robotics. In these settings, we now have traditionally used...

TLDR in healthcare often output binary decisions comparable to disease or no disease, which by themselves cannot produce a meaningful AUC. AUC remains to be the usual technique to compare risk and detection models in...

concentrate on isolated tasks or easy prompt engineering. This approach allowed us to construct interesting applications from a single prompt, but we're beginning to hit a limit. Easy prompting falls short after we...

all of us do naturally and often. In our personal lives, we regularly keep to-do lists to organise holidays, errands, and all the things in between.  At work, we depend on task trackers and...

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have revolutionized the way in which I program. After I first learned coding back in 2019, I wrote all of the code, character for character. In hindsight, I’m grateful for this experience, as...

grow more complex, traditional logging and monitoring fall short. What teams really want is observability: the power to trace agent decisions, evaluate response quality mechanically, and detect drift over time—without writing and maintaining...