Tag: weight

  • Simon Willison’s Weblog: Grok 4 Fast

    Source URL: https://simonwillison.net/2025/Sep/20/grok-4-fast/ Source: Simon Willison’s Weblog Title: Grok 4 Fast Feedly Summary: Grok 4 Fast New hosted reasoning model from xAI that’s designed to be fast and extremely competitive on price. It has a 2 million token context window and “was trained end-to-end with tool-use reinforcement learning". It’s priced at $0.20/million input tokens and…

  • Simon Willison’s Weblog: Magistral 1.2

    Source URL: https://simonwillison.net/2025/Sep/19/magistral/ Source: Simon Willison’s Weblog Title: Magistral 1.2 Feedly Summary: Mistral quietly released two new models yesterday: Magistral Small 1.2 (Apache 2.0, 96.1 GB on Hugging Face) and Magistral Medium 1.2 (not open weights same as Mistral’s other “medium" models.) Despite being described as "minor updates" to the Magistral 1.1 models these have…

  • Cloud Blog: Back to AI school: New Google Cloud training to future-proof your AI skills

    Source URL: https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-training-to-future-proof-ai-skills/ Source: Cloud Blog Title: Back to AI school: New Google Cloud training to future-proof your AI skills Feedly Summary: Getting ahead — and staying ahead — of the demand for AI skills isn’t just key for those looking for a new role. Research shows proving your skills through credentials drives promotion, salary…

  • Cloud Blog: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/agent-factory-recap-deep-dive-into-gemini-cli-with-taylor-mullen/ Source: Cloud Blog Title: Agent Factory Recap: Deep Dive into Gemini CLI with Taylor Mullen Feedly Summary: In the latest episode of the Agent Factory podcast, Amit Miraj and I took a deep dive into the Gemini CLI. We were joined by the creator of the Gemini CLI, Taylor Mullen, who shared…

  • AWS News Blog: Qwen models are now available in Amazon Bedrock

    Source URL: https://aws.amazon.com/blogs/aws/qwen-models-are-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: Qwen models are now available in Amazon Bedrock Feedly Summary: Amazon Bedrock has expanded its model offerings with the addition of Qwen 3 foundation models enabling users to access and deploy them in a fully managed, serverless environment. These models feature both mixture-of-experts (MoE) and dense architectures…

  • AWS News Blog: DeepSeek-V3.1 model now available in Amazon Bedrock

    Source URL: https://aws.amazon.com/blogs/aws/deepseek-v3-1-now-available-in-amazon-bedrock/ Source: AWS News Blog Title: DeepSeek-V3.1 model now available in Amazon Bedrock Feedly Summary: AWS launches DeepSeek-V3.1 as a fully managed models in Amazon Bedrock. DeepSeek-V3.1 is a hybrid open weight model that switches between thinking mode for detailed step-by-step analysis and non-thinking mode for faster responses. AI Summary and Description: Yes…

  • Slashdot: Google Releases VaultGemma, Its First Privacy-Preserving LLM

    Source URL: https://yro.slashdot.org/story/25/09/16/000202/google-releases-vaultgemma-its-first-privacy-preserving-llm?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Releases VaultGemma, Its First Privacy-Preserving LLM Feedly Summary: AI Summary and Description: Yes Summary: The text discusses recent advancements in LLMs, particularly surrounding the integration of differential privacy to mitigate the risk of memorization of sensitive training data. It highlights the balance between privacy and model performance, introducing…

  • Cloud Blog: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer

    Source URL: https://cloud.google.com/blog/products/compute/ai-inference-recipe-using-nvidia-dynamo-with-ai-hypercomputer/ Source: Cloud Blog Title: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer Feedly Summary: As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make…