GPT‑6 Astra
GPT‑6 Astra GPT-6 Astra is "rolling out today to a limited set of organizations and over the coming days will become available to all ChatGPT Plus, Pro, Business, and Enterprise users, as well as through the OpenAI API…
Topic - Edition
GPT‑6 Astra GPT-6 Astra is "rolling out today to a limited set of organizations and over the coming days will become available to all ChatGPT Plus, Pro, Business, and Enterprise users, as well as through the OpenAI API…
The other day a serious vulnerability was disclosed in one of the newer Linux distributions (the one led by the racist, so it isn't getting a mention here). The issue was interesting because it was caused by a…
Every example in this series so far has wrapped a call. A binding named a method, and what flowed through the call was recorded or changed. Plenty of what a test needs to control is not a call, though. An outcome stored…
Most of what a test configures on a patch holds until the test changes it. Retry logic is the classic case where that is not enough: the code under test keeps calling, and the test needs the behaviour to change on its…
I built this after spending hours manually tracing a codebase I didn't write — following imports by hand, guessing at blast radius before touching anything, finding a database table involved three levels deep. The tool…
Turning a trained churn classifier into a FastAPI service that other software can actually call. The post My Model Worked Perfectly. Then I Tried to Make It Useful. appeared first on Towards Data Science.
Enterprise Document Intelligence [Vol.1 #B4] - A diagnostic and five composable operations, not a decision tree The post Tables in PDFs for RAG: Don’t Flatten the Grid appeared first on Towards Data Science.
I started playing with the idea of namespaces in Python due to the recent discussions about public/private. It’s often useful to group related items under a name, but creating a submodule isn’t always desirable. Python…
I built a prompt dependency graph that separates everything a component can reach from the smaller set that actually needs targeted evaluation. The post Changing One Prompt Can Affect 50 Others — I Built a Prompt…
Check your grasp of how neural networks make predictions in Python, from dot products and activation functions to gradient descent and backpropagation.
A practical framework for reducing uncertainty before agents accelerate implementation The post How to Solve the Right Problem in the Age of Agentic AI appeared first on Towards Data Science.
Recently I’ve been thinking quite a lot about information availability for agents, and the fact that this is a very difficult and potentially irresoluble problem. Let me try to explain myself. I talked before about a…
Motivation and scope This is a summary of the API exposure mechanisms currently used in Python, i.e. whether interaction with names from outside of the namespace they live in is intended and supported. The primarily…
The author traces a simple np.add(a, b) call through NumPy’s internals, from Python argument handling and dtype dispatch to iteration strategy and the final SIMD-optimized C loop. Along the way, the post explores ufunc…
Weather, tides, the sun, the moon, and maps, in your terminal. The Old Farmer's Almanac meets Minitel.
The post explains the four caching layers in LLM stacks: KV cache, prefix caching, prompt caching, and semantic caching, covering what each stores, their trade-offs, interactions, and the most common issues that prevent…
In this video, we'll look at Django API options, exploring the best modern packages for API-driven development in Django. We will take a look at Django REST Framework, django-ninja, django-bolt, and django-modern-rest -…
Desktop flight and marine radar: a real-time aircraft and marine vessel tracker powered by a Raspberry Pi and 4" round screen.
Six common OOP practices can make code harder to maintain, including overusing inheritance, building unnecessary class hierarchies, breaking the Liskov Substitution Principle, and abstracting too early. The video…
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