Tag: Apache 2

  • Hacker News: OpenID Coming to SSH

    Source URL: https://blog.cloudflare.com/open-sourcing-openpubkey-ssh-opkssh-integrating-single-sign-on-with-ssh/ Source: Hacker News Title: OpenID Coming to SSH Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses OPKSSH, a newly open-sourced tool that facilitates Secure Shell (SSH) access through single sign-on (SSO) technologies such as OpenID Connect. It highlights how OPKSSH improves SSH key management by generating ephemeral keys…

  • Hacker News: Qwen2.5-VL-32B: Smarter and Lighter

    Source URL: https://qwenlm.github.io/blog/qwen2.5-vl-32b/ Source: Hacker News Title: Qwen2.5-VL-32B: Smarter and Lighter Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the Qwen2.5-VL-32B model, an advanced AI model focusing on improved human-aligned responses, mathematical reasoning, and visual understanding. Its performance has been benchmarked against leading models, showcasing significant advancements in multimodal tasks. This…

  • Simon Willison’s Weblog: Mistral Small 3.1

    Source URL: https://simonwillison.net/2025/Mar/17/mistral-small-31/#atom-everything Source: Simon Willison’s Weblog Title: Mistral Small 3.1 Feedly Summary: Mistral Small 3.1 Mistral Small 3 came out in January and was a notable, genuinely excellent local model that used an Apache 2.0 license. Mistral Small 3.1 offers a significant improvement: it’s multi-modal (images) and has an increased 128,000 token context length,…

  • Simon Willison’s Weblog: QwQ-32B: Embracing the Power of Reinforcement Learning

    Source URL: https://simonwillison.net/2025/Mar/5/qwq-32b/#atom-everything Source: Simon Willison’s Weblog Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: QwQ-32B: Embracing the Power of Reinforcement Learning New Apache 2 licensed reasoning model from Qwen: We are excited to introduce QwQ-32B, a model with 32 billion parameters that achieves performance comparable to DeepSeek-R1, which boasts 671 billion parameters…

  • Simon Willison’s Weblog: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model

    Source URL: https://simonwillison.net/2025/Feb/12/nomic-embed-text-v2/#atom-everything Source: Simon Willison’s Weblog Title: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model Feedly Summary: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model Nomic continue to release the most interesting and powerful embedding models. Their latest is Embed Text V2, an Apache 2.0 licensed multi-lingual 1.9GB…

  • Simon Willison’s Weblog: Mistral Small 3

    Source URL: https://simonwillison.net/2025/Jan/30/mistral-small-3/#atom-everything Source: Simon Willison’s Weblog Title: Mistral Small 3 Feedly Summary: Mistral Small 3 First model release of 2025 for French AI lab Mistral, who describe Mistral Small 3 as “a latency-optimized 24B-parameter model released under the Apache 2.0 license." More notably, they claim the following: Mistral Small 3 is competitive with larger…

  • Hacker News: Mistral Small 3

    Source URL: https://mistral.ai/news/mistral-small-3/ Source: Hacker News Title: Mistral Small 3 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Mistral Small 3, a new 24B-parameter model optimized for latency, designed for generative AI tasks. It highlights the model’s competitive performance compared to larger models, its suitability for local deployment, and its potential…

  • Simon Willison’s Weblog: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens

    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Simon Willison’s Weblog Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Feedly Summary: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Very significant new release from Alibaba’s Qwen team. Their openly licensed (sometimes Apache 2, sometimes Qwen license, I’ve had trouble keeping…

  • Simon Willison’s Weblog: Things we learned out about LLMs in 2024

    Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/#atom-everything Source: Simon Willison’s Weblog Title: Things we learned out about LLMs in 2024 Feedly Summary: A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying…