10 Ways Python Turns Everyday Tasks into One-Click Automation.Continue reading on Artificial Intelligence in Plain English »
Transformers have become the backbone of modern AI. They power the large language models we interact with daily and are even used in scientific problems like protein structure prediction.But there’s a subtle issue with them. Unlike older models such as…
Most people are still hand-crafting agent loops in LangGraph. Deep Agents is a higher-level answer to that — and it’s more opinionated than you’d expect.1.1 Deep agents in actionThere’s a pattern I’ve watched repeat itself across almost every team that…
I have 14 WhatsApp groups. Family. College friends. Work. The gym group nobody posts in. That one trip-planning group from 2019 that still…Continue reading on Towards AI »
Image by authorOriginally published on codecut.aiIntroductionpandas has been the standard tool for working with tabular data in Python for over a decade. But as datasets grow larger and performance requirements increase, two modern alternatives have em…
20 lines of Python. 90% of cuBLAS. Zero thread management. The catch: NVIDIA owns the compiler.Continue reading on Towards AI »
No boilerplate here. No DI container, nothing-no middleware whatsoever. Just resultsContinue reading on Towards AI »
Release: llm-all-models-async 0.1
LLM plugins can define new models in both sync and async varieties. The async variants are most common for API-backed models – sync variants tend to be things that run the model directly within the plugin.
My …
A hands-on tutorial generating synthetic linked tables (customers, orders, invoices) with Faker and Pandas, and the hidden complexity that breaks at scale.Created using GPT imageFlat seems so simple and safe. “Yeah, that’s how I ended up with a broken …
Learn Prompt Engineering, Function Calling, RAG, and Multimodal Memory with Cumulative Code Examples Using GPT-5 and OpenAI Responses APIContinue reading on Towards AI »