Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
InfoQ

Agentic Terminal - How Your Terminal Comes Alive with CLI Agents

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...
MIT Technology Review

The Download: mimicking pregnancy’s first moments in a lab, and AI parameters explained

At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...

Ask An SEO: Can AI Systems & LLMs Render JavaScript To Read ‘Hidden’ Content?

What are the differences between how AI systems handle JavaScript-rendered or interactively hidden content compared to ...

Dify Makes Self-Hosted LLM Development Simple : Swap Models, Add RAG & Launch Faster

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...

Building Open-Source AI Models That Emphasize Generating Mental Health Advice

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.
IEEE

LLM Assistant for TAPI Context and Client Code Translation

Abstract: This paper presents an LLM-based mediator for disaggregated optical networks, designed to address inconsistencies in TAPI interpretation and generation. By integrating TAPI-YANG models, ...