In this tutorial, we implement a practical use case with Loguru, a powerful, flexible, and production-ready logging library for Python. The post A Coding Implementation on Loguru for Designing Robust, Structured, Concurrent, and Production-Ready Python Logging Pipelines appeared first on...
Trajectory, working with UC Berkeley Sky Lab and Anyscale, built a concurrent multi-LoRA training stack for continual learning. It maps each RL experiment to a dedicated LoRA adapter on an always-hot engine, reporting a 2.81× end-to-end experiment-throughput gain over a single-tenant baseline with...
In this tutorial, we build a governed AI-agent workflow using Microsoft’s Agent Governance Toolkit as the reference point. We create a Colab-ready implementation where agents do not directly execute tools; instead, every action first passes through a governance layer that checks the agent’s...
Environmental activist Erin Brockovich has a new mission.
Release: datasette 1.0a32 A minor bugfix release. Fixes a bug with INSERT ... RETURNING queries via the new /db/-/execute-write endpoint and a bunch of base_url issues which showed up when I was experimenting with Service Workers yesterday. Tags: datasette, annotated-release-notes
The solution might be cancelling my AI subscription I find this post by David Wilson very relatable. David lists 16+ projects he's spun up with AI tooling, and concludes: I didn't mean to build most of these things. Usually the Claude session started with something like "write a quick script for...
On the latest episode of Equity, we debate whether tech CEOs are "uniquely prone to AI psychosis."
The crypto weed vape found me on 4/20, the high holiday of cannabis enthusiasts everywhere. It arrived over Slack with the thumbnail of a man exhaling a plume of vapor, the words "every hit delivers Bitcoin" emblazoned across it. It claimed to be advertising a device called Gudtrip, and I thought...
From specialized motors to the use of machine learning algorithms, Turkey’s billion-dollar hair-transplant industry is the result of a constant process of innovation.
Anthropic defines “run-rate revenue” in two parts. Use the last 28 days of sales from customers charged on a consumption basis and multiply it by 13. Then, multiply the monthly subscription take by 12, and add the two together. — Karen Kwok for Reuters Breakingviews, citing "a person...