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News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

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7 articles
AI Tools

NVIDIA Launches Magpie Multilingual TTS, an Open-Weight Voice Model for 12 Languages

NVIDIA has released Magpie Multilingual TTS, an open-weights text-to-speech model supporting 12 languages, including new additions like Arabic, Korean, and Brazilian Portuguese. The 364M-parameter model is designed for low-latency voice agents, offering developers full control over deployment, from private servers to air-gapped environments. Benchmarks show sub-200ms end-to-end latency on B200 GPUs, with architectural improvements like frame stacking and local transformers enhancing speed. The model is available on Hugging Face under the NVIDIA Open Model License, paired with NIM microservices and NeMo for fine-tuning.

Aug 107 minNeura News
AI Models

Thinking Machines Releases Inkling Small, a Compact Reasoning Model That Outperforms Its Bigger Sibling on Key Tests

Thinking Machines released Inkling Small, a compact open-weights reasoning model that scores nearly as high as its larger sibling on the Intelligence Index (40 vs. 41) and outperforms it on specific reasoning benchmarks like Humanity's Last Exam and GPQA Diamond. The model is highly token-efficient, supports multimodal inputs, and is available under Apache 2.0 with browser-based fine-tuning.

Jul 313 minNeura News
AI Models

Petals Lets Users Run Large AI Models at Home Like BitTorrent

Petals is a decentralized platform that allows users to run large language models such as Llama 3.1, Mixtral, Falcon, and BLOOM on consumer-grade hardware by sharing computational resources in a peer-to-peer network. Users load only a portion of a model and join a network of others serving the remaining parts, enabling inference speeds of up to 6 tokens per second for Llama 2 70B and 4 tokens per second for Falcon 180B. The platform supports fine-tuning, custom sampling methods, and access to hidden states, combining the convenience of an API with the flexibility of PyTorch and Hugging Face Transformers.

Jul 232 minNeura News
AI Tools

NVIDIA NeMo Automodel and Hugging Face Unite for Diffusion Model Fine-Tuning

NVIDIA and Hugging Face have collaborated to bring production-grade distributed diffusion training to any Diffusers-format model on the Hugging Face Hub through the NVIDIA NeMo Automodel open-source library. The integration supports models like FLUX.1-dev, Wan 2.1, and HunyuanVideo, enabling full fine-tuning and LoRA adaptation without checkpoint conversion or model rewrites. The workflow uses YAML-driven configuration, pre-encoded datasets, and scalable parallelism from one GPU to hundreds.

Jul 1710 minNeura News
AI Models

IBM Granite 4.1 LLMs: Full Training Breakdown

IBM's Granite Team details the construction of Granite 4.1, a set of decoder-only LLMs in 3B, 8B, and 30B sizes trained on about 15 trillion tokens through five pre-training phases. The models receive supervised fine-tuning on 4.1 million curated samples and multi-stage reinforcement learning. The 8B instruct version equals or beats the prior Granite 4.0-H-Small 32B-A9B MoE model using a basic dense setup with fewer parameters. All models appear under Apache 2.0 license.

Apr 298 minNeura News