LLM

8 min read

A comprehensive look at Claude Skills-modular, persistent task modules that shatter AI's memory constraints and enable progressive, composable, code-capable workflows for developers and organizations.

7 min read

GPT-5 introduces a fundamentally different approach to inference. Instead of forcing developers to manually configure reasoning parameters, the model operates as a unified system with real-time rou...

7 min read

Inception Labs launched Mercury, the first commercial-grade diffusion large language model. It generates over 1,000 tokens per second on standard Nvidia hardware by replacing autoregressive generation with a coarse-to-fine diffusion process.

10 min read

Unstract is an open-source, no-code platform for extracting structured data from PDFs, invoices, scanned documents, and more. Here is how it works, how to set it up, and why automated document processing is becoming essential for organizations drowning in unstructured data.

9 min read

Microsoft's PHI-4 is an MIT-licensed 14 billion parameter model that matches Llama 3.3 70B and Qwen 2.5 72B on key benchmarks. Here is what makes it special, how to run it locally, and why small language models are increasingly practical for real development work.

8 min read

Meta surprised the AI community with Llama 3.3, a 70 billion parameter model that delivers 405B-class performance at a fraction of the cost. Here is what the benchmarks show, where to run it, and why this release matters for developers building with open-source models.