Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...
Autonomous agents powered by large language models (LLMs) are increasingly deployed in real-world applications requiring complex, long-horizon workflows. However, existing benchmarks predominantly ...
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Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...
This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it ...
This repository formalises the Adaptive Anti-Corruption Layer (AACL) design pattern for integrating probabilistic LLM agents with deterministic systems via a self-healing mechanism. The AACL provides ...
The U.S. is far ahead of Europe in the race for large AI models — but the picture is different for the application layer, with emerging category leaders such as Lovable, the vibe-coding startup, and ...
New funding will scale the development of faster, more efficient AI models for text, voice, and code Inception dLLMs have already demonstrated 10x speed and efficiency gains over traditional LLMs PALO ...
Meta FAIR released Code World Model (CWM), a 32-billion-parameter dense decoder-only LLM that injects world modeling into code generation by training on execution traces and long-horizon ...
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