ChatGPT's market share dropped from 77.6% to 53.7% in a year, while Gemini surged to 26.7%. We ran both through real coding, writing, and research tasks to find out if the numbers reflect reality.

In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by Google DeepMind for building reinforcement learning algorithms with JAX. We combine ...

Andrej Karpathy created microGPT, a minimal GPT using only 243 lines of Python code. The project simplifies LLM architecture to basic mathematical operations without external libraries. Karpathy's ...

I'm an independent creator passionate about building useful tools, simulations, and theories that make complex ideas more accessible. I explore the intersection of technology, education, and human ...

In this tutorial, we demonstrate how to use the UAgents framework to build a lightweight, event-driven AI agent architecture on top of Google’s Gemini API. We’ll start by applying nest_asyncio to ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...

One of the consequences of the fast-moving evolution of technology is that we have to come up with new names to describe things. Tech companies and marketers will provide brand and feature names, but ...

Through AI frameworks and libraries, businesses can build and craft their AI solutions to realise efficiencies and optimisations that yield real returns Software plays a crucial role in streamlining ...

The widespread adoption of AI is creating a paradigm shift in the software engineering world. Python has quickly become the programming language of choice for AI development due to its usability, ...