#llm
The latest AI and developer news about #llm, with the original source and a short summary.
The latest AI and developer news about #llm, with the original source and a short summary.
Amazon is going beyond simple information search to innovate customer experience and overall operations through agentic AI capable of judgment and execution.
In the age of agentic AI, defining the context of data is key to performing actions, not just providing simple answers.
xAI's latest model Grok 4.3 has launched generally available through Amazon Bedrock, supporting the building of enterprise AI agents.
China's Weibo has released a 3B-scale VibeThinker model that has become controversial after posting benchmark scores that surpass ultra-large models.
Introducing the Netherlands' independent language model project, built to secure data sovereignty and transparency.
This introduces the loop engineering strategy of stacking loops hierarchically to increase the reliability of AI agents.
GLM 5.2, now with a context window expanded to 1M tokens, has been added to AI Gateway.
As the performance of general-purpose models improves at an accelerating pace, this presents criteria for judging when to adopt model post-training.
It covers the concepts and importance of inference engineering, which efficiently deploys and optimizes AI models for real-world services.
This explains the gap between the advertised context window size of LLMs and the actual effective working range, along with efficient workflows.
Rather than defining AI agents strictly, the concept of 'Agentic'—how autonomously a system operates—matters more.
It has been revealed that each LLM model and version has a unique bias toward repeatedly generating specific person names.
Vercel Functions has significantly extended the maximum execution time for Node.js and Python runtimes to 30 minutes for Pro and Enterprise teams.
Allegations have surfaced that the Rio city government's supposedly self-developed model is actually the result of weight merging of existing models.
This covers four core design strategies for building a high-performance conversational analytics chatbot that analysts can use every day.
OKF was unveiled as a standardized markdown format for managing the knowledge AI agents use.
Moonshot AI has released Kimi K2.7 Code, a model that significantly enhances coding task efficiency and agentic capabilities.
This explains how to calculate per-user inference costs for a SaaS product using GPU specs and model parameters.
The European Commission is investigating the substantial impact that Anthropic's decision will have on the market.
Meta is restructuring its organization by reassigning employees to new AI workflow-related initiatives.
Cohere has unveiled North Mini Code, a 30B-scale model optimized for code generation and agentic tasks.
Zhipu has released GLM-5.2, a coding-specialized model supporting a 1M context window, and plans to make it open source under an MIT license.
The Rio de Janeiro city government released a 397B-scale open source model fine-tuned from Qwen.
This introduces a technique that uses the PDF's 'marked-content' property to simultaneously provide visual information for humans and markdown structure for LLMs.