Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

A little over a year after it upended the tech industry, DeepSeek is back with another apparent breakthrough: a means to stop current large language models (LLMs) from wasting computational depth on ...

Abstract: Paraphrase identification remains a key Natural Language Processing (NLP) task, with the Microsoft Research Paraphrase Corpus (MRPC) dataset widely used for evaluating model performance.

Please provide your email address to receive an email when new articles are posted on . Large language models can help ensure you are providing evidence-based care. Getting the right answer out of ...

Every Black Friday reveals how consumers search, compare, and decide. This year added something new: a real-world test of how AI models interpret commerce under true demand. So we ran a structured ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Department of Philosophy and Cognitive Science, Lund University, Lund, Sweden The use of Large Language Models (LLMs) such as ChatGPT is a prominent topic in higher education, prompting debate over ...

ZigFormer is a fully functional implementation of a transformer-based large language model (LLM) written in Zig programming language. It aims to provide a clean, easy-to-understand LLM implementation ...

[08/05] Running a High-Performance GPT-OSS-120B Inference Server with TensorRT LLM ️ link [08/01] Scaling Expert Parallelism in TensorRT LLM (Part 2: Performance Status and Optimization) ️ link [07/26 ...