Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…Editor for Fortnite (UEFN) while doubling down on model-assisted creation. "For UE6, we see LLMs, generative AI models, and tools like Claude and Codex playing a central role in helping you…
…Server enables deployment of Gemma 4 models on AMD hardware through an open-source local LLM server with OpenAI‑compatible APIs. It supports acceleration on AMD Radeon and Radeon PRO GPUs via…
…It all begins with Riva, which enables automatic speech recognition (ASR) and text-to-speech (TTS) with the customizable Nemotron large language model (LLM). Here, developers can create specific character backstories and…
…This will allow users to run intelligent, 100B+ parameter LLMs locally, just as we've seen with Strix Halo in its 128GB config. Nvidia's advantage here will be more robust, day…
…1, while built-in AI acceleration technologies such as AMX and AVX512 allow workloads like LLM inference, fine tuning, and classical machine learning to run efficiently without the need for dedicated accelerator…
…Paired with on-screen awareness and a multi-agent Siri that can tap into your preferred LLM, such as OpenAI's ChatGPT or Anthropic's Claude, Apple's revamped voice assistant is…
…It's well-documented that popular GenAI tools and LLMs were trained on data that is essentially just ripped from other people's work online. In GDC's State of the Game…
…dedicate up to 160 GB of memory to the GPU, enabling support for 300B+ AI LLMs. [Roundtable Jounralists] Q - Okay, and maybe just one more question. Yep. Could we ever see a…
…have multiple CPUs handling agent orchestration in the control plane, with just one GPU handling LLM inference. This would certainly represent a massive upset to traditional AI deployments, where a single CPU…
…Related Story Sipeed Crams 32GB LPDDR5 and a 60 TOPS NPU Into a Compact RISC-V Board That Hits 15 Tokens/s on Qwen-3.5 35B AI LLMs However, with the…