Mistral’s local models tested on a real task from 3 GB to 32 GB, building a SaaS landing page with HTML, CSS, and JS, so you ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

This is the core challenge that agentic identity aims to solve. In simple terms, agentic identity is a framework for binding ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

LLMs can, in theory, be useful in therapy, but they lack accuracy for complex cases, which is why it's vital to focus on complexity as a clinical touchstone.

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience its ...

Agentic AI challenges the foundational tenets of our legal frameworks, which have historically relied on clear lines of ...

Over-engineered automation systems create hidden costs and delays. Right-sizing, openness and resilience offer a smarter path ...

Dr. Atif Naseer is Co-Founder, bringing a PhD in Machine Learning and over a decade of research in deep learning, crowd ...

“2025 was supposed to be the year of the AI agent,” reporter Joanna Stern said in a YouTube video documenting the experiment.