Model Context Protocol (MCP): USB-C for LLMs
Explore how Model Context Protocol (MCP) is standardizing how LLMs connect to various data sources and tools, making AI integrations more accessible and flexible
Thoughts, ideas, and tutorials about AI
Explore how Model Context Protocol (MCP) is standardizing how LLMs connect to various data sources and tools, making AI integrations more accessible and flexible
Exploring how Transformer² enables AI models to dynamically reconfigure themselves for different tasks, bringing us closer to truly adaptive artificial intelligence.
Explore how Mixture of Experts (MoE) architecture is revolutionizing LLMs by creating specialized AI teams instead of monolithic models
Dive into the world of AI Agents! Learn how they work, why they matter, and how to build your own autonomous AI systems using the latest tools and frameworks.
A developer's guide to understanding and implementing RAG to enhance LLM responses with custom knowledge
A beginner-friendly introduction to Mojo - what it is, why it matters, and how it supercharges Python for modern computing and AI.
A developer-friendly deep dive into Transformer architecture, exploring how modern AI models like ChatGPT work under the hood.
Learn how to leverage pre-trained models using Transfer Learning in TensorFlow/Keras to create a powerful image classifier without training from scratch.