Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size 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 ...

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 ...

Railway image classification (RIC) represents a critical application in railway infrastructure monitoring, involving the analysis of hyperspectral datasets with complex spatial-spectral relationships ...

Google’s Threat Intelligence Group reports that new malware strains use LLMs mid-execution to generate, rewrite, and obfuscate malicious code in real time. Threat actors are now actively deploying ...

How do you convert real agent traces into reinforcement learning RL transitions to improve policy LLMs without changing your existing agent stack? Microsoft AI team releases Agent Lightning to help ...

According to Andrej Karpathy (@karpathy), the new DeepSeek-OCR paper presents a notable advancement in OCR models, though slightly behind state-of-the-art models like Dots. The most significant ...

Abstract: In order to engage with large language models (LLMs) in a meaningful way, it is necessary to create prompts that are both instructive and precise. However, especially when working with ...