A 4B decision model from Together AI for fast classification.
Accurate and scalable multi-disease classification from adaptive immune repertoires
Summary BackgroundMachine learning models trained on paratope-similarity networks have shown superior accuracy compared with clonotype-based models in binary disease classification. However, the computational demands of paratope networks hinder their use on large datasets and multi-disease classification.MethodsWe reanalyzed publicly available T cell receptor (TCR) repertoire data from 1,421 donors across 15 disease groups and a large control group, encompassing approximately 81 million TCR sequences.
Laya — 33ms Multilingual System 1 Decision Engine
Evaluates typed decisions (choice, score, noul) over 100+ languages in a single forward pass with calibrated probabilities. Outperforms TypeSafe Jev.
Hyperfast AI: Rethinking Design for 1000 tokens/s
I recently spoke at AI Tinkerers Raleigh about hyperfast inference systems and how they’re fundamentally changing AI application design. If you haven’t heard of Cerebras (or however they pronounce it), you’re in for a treat—this is one of the most exciting areas of research in AI right now.
Introducing Claude 4
Discover Claude 4's breakthrough AI capabilities. Experience more reliable, interpretable assistance for complex tasks across work and learning.
SambaNova | The Fastest AI Inference Platform
Discover SambaNova - the complete AI platform delivering the fastest AI inference, fine-tuning, and scalable solutions for agentic AI easily integrated into existing data center infrastructures.
CSAM Classifiers: Find Novel Content with Predictive AI | Safer by Thorn
CSAM has distinct characteristics that call for purpose-built solutions, such as CSAM classifiers. Thorn's data science team dives into the details.
Jev introduces a new shape of LLM—System One, aka Decision Models
Last week TypeSafe AI unveiled Jev, their first example of a new category of model that they are calling “System One models” (I’m with Maggie Appleton, I think “decision models” …
tinygrad: A simple and powerful neural network framework
We write and maintain tinygrad, the fastest growing neural network framework
Datacurve | The data engine for frontier AI
Custom data for long-horizon reasoning, software engineering, and data science.
Meilisearch: Unified Search & AI Retrieval Platform
Build lightning-fast search and AI retrieval with Meilisearch. Open-source, developer-friendly search engine trusted by 20,000+ teams worldwide.
GDPval-AA v2 Leaderboard | Artificial Analysis
Compare AI model performance on GDPval-AA v2 Leaderboard. GDPval-AA v2 is Artificial Analysis' evaluation framework for OpenAI's GDPval dataset. It tests AI models on real-world tasks across 44 occupations and 9 major industries. Models are given shell access and web browsing capabilities in an agentic loop via Stirrup to solve tasks, with Elo ratings derived from blind pairwise comparisons.
AI Model Leaderboards & Benchmarks
Explore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.