Discover the step-by-step journey of crafting a stunning Blue-Eyes Ultimate Dragon model inspired by Yu-Gi-Oh! Watch as traditional sculpting in oil-wax clay meets innovative 3D printing and resin ...
OpenAI, the company that developed the models and products associated with ChatGPT, plans to announce a new audio language model in the first quarter of 2026, and that model will be an intentional ...
Abstract: The lattice spring model (LSM) is a novel method to simulate seismic wave propagation from a micromechanical perspective, which describes the elastic dynamics in complex media ...
Posts from this topic will be added to your daily email digest and your homepage feed. is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared in ...
On Tuesday, Google released Gemini 3, its latest and most advanced foundation model, which is now immediately available through the Gemini app and AI search interface. Coming just seven months after ...
In an interview, the head of ChatGPT says ‘we have to give people some level of predictability when there’s a major change.’ In an interview, the head of ChatGPT says ‘we have to give people some ...
Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...
As part of an effort to make building AI-powered chatbots on the web simpler, Microsoft is launching an open project called NLWeb. Announced at Build 2025, NLWeb lets websites provide a ...
One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...
Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly ...
Reliable evaluation of large language model (LLM) outputs is a critical yet often complex aspect of AI system development. Integrating consistent and objective evaluation pipelines into existing ...
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