Modern types of large languages are no longer trained only on raw Internet text. Increasingly, companies are using powerful “teacher” models to help train smaller or more efficient “student” models. This process, widely known as LLM distillation or model to model traininghas become the primary method for building high-performance models at low computational cost. Meta … Read more
A team of researchers from Meta, Stanford University, and the University of Washington have introduced three new methods that greatly accelerate production in the Byte Latent Transformer (BLT) – a model of language structures that work directly on raw bytes instead of tokens. Byte-Level Models Are Slow to Understand To understand what this new research … Read more
Large language models are no longer just scales. In 2026, the most important LLM research focuses on making models safer, more controllable, and more usable as real-world agents. From the risk of influence and approaches to harmful content to driving tools, temporal reasoning, and agent privacy, these papers show where LLM research is headed next. … Read more
Step 01 of 09 · Prerequisites What You Need Before You Begin cuda-oxide has version specific requirements for each dependency. Before installing anything, make sure your system meets all of these. The project at the moment Linux only (tested on Ubuntu 24.04). Linux (Ubuntu 24.04) Rust at night CUDA Toolkit 12.x+ LLVM 21+ Clang 21 … Read more
Training a family of large language models (LLMs) always comes with painful iterations: each different model in the family—whether it’s 8B, 30B, or 70B—typically requires its own full training, storage, and deployment stack. For a dev team using inference at scale, this means multiplying the computational cost by the number of model sizes they want … Read more
EU officials have agreed to water down certain aspects of the AI Law, including delaying the implementation of rules covering many high-risk applications until December 2027, instead of the previously set deadline of August 2026, according to the latest update by EU lawmakers watering down AI rules. The deal comes after many companies argued that … Read more
OpenAI launched a Codex Chrome extension for Mac and PC to streamline browser-based workflows that were previously difficult to manage with APIs or plugins. This release follows the trend where most users prefer to work in a browser after the introduction of “Computer Usage,” which allows Codex to work more efficiently for all web-based tasks. … Read more
In this tutorial, we develop a workflow for single-cell RNA-seq analysis using Scanpy on the PBMC-3k benchmark dataset. We first load the dataset, check its structure, and use quality control checks to evaluate gene counts, total counts, mitochondrial content, and ribosomal gene signals. We then filtered out low-quality cells and genes, detected duplicates with Scrublet, … Read more
If you’re an AI developer looking to hone your skills, building AI agents it is one of the most effective ways to gain experience. AI agents represent effective applications of AI in all domains, from personal assistants and recommendation systems to financial traders. Here we are 10 AI agents every engineer must build. For each, … Read more
When you type a message to Claude, something invisible happens in between. The words you send are converted into a long list of dialed numbers to activate model used to process context and generate feedback. This opening, in fact, is where the “thinking” of the model resides. The problem is that no one can easily … Read more