Learning to use local AI is exciting, overwhelming, and frustrating
A Verge writer who had avoided AI over concerns about sharing personal data with cloud services tries running models locally. The piece describes what that experience is like.
Open source
17 storiesThe model that didn't exist, so you made it yourself
A Hugging Face blog post looks at building your own AI model when no suitable one exists.
“Software is over”: Bold AI developer takes aim at Adobe with open source clones
A developer is building free, open source alternatives to Adobe’s Creative Cloud apps using Opus. Ars Technica describes the project as ambitious but far from finished.
Multimodal open d1 decision models for the edge
A Hugging Face post introduces d1, open multimodal decision models designed to run on edge devices.
Introducing Falcon ASR
Falcon ASR, a speech recognition model, has been introduced on the Hugging Face blog.
One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO
A Hugging Face post describes fine-tuning NVIDIA’s Nemotron models to reach gold-level results at the International Olympiad in Informatics and the International Mathematical Olympiad.
EmbeddingGemma 2: an open, lightweight multimodal embedding model
Google DeepMind has released EmbeddingGemma 2, an open and lightweight model that produces multimodal embeddings.
Mistral Large 4: how good is the ‘best open model outside China’?
On Oct. 6, Mistral opened a preview of Mistral Large 4, a 1.05-trillion-parameter model it calls the most capable open model outside China. Independent measurements show it catching up, with cybersecurity pitched as a selling point against Chinese open models.
Why Telecom Operators Are Building Their AI Strategy on Open Models
NVIDIA says telecom operators increasingly build their AI strategies on open models, which give them more control and customization for network automation and customer care. The claim draws on NVIDIA’s latest State of AI in Telecommunications report.
Aleph Alpha’s Kolibri: what the Apache 2.0 license guarantees
On Oct. 3, German company Aleph Alpha released Kolibri 1, a mixture-of-experts language model whose full weights can be downloaded from Hugging Face. ActuIA examines what its Apache 2.0 license allows.
NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI
NVIDIA will release a version of its DGX Spark desktop AI computer with 64GB of unified memory this month, built by partners including Acer. The company links it to open models becoming small enough to run locally.
Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning
Hugging Face has introduced an open leaderboard for evaluating multilingual text-to-speech and voice cloning models at scale.
Welcome RL Environments to the hub
Hugging Face now hosts reinforcement learning environments on its Hub.
NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development
NVIDIA has released Isaac ROS 5.0, a set of GPU-accelerated packages built on the open ROS robotics framework. It targets developers building robots that perceive, reason and act in changing environments.
Transformers now runs llama.cpp quants
Hugging Face’s Transformers library can now run models quantized in the llama.cpp format.
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
Jun Kim, who created and maintains oMLX, is joining Hugging Face. His role will focus on supporting the community around MLX, Apple’s machine learning framework.
tokenizers v1: encode, decode and scaling, measured
Hugging Face has released version 1 of its tokenizers library, with measurements of encoding, decoding and scaling performance.