Tag: model deployment

  • Simon Willison’s Weblog: OpenAI o3-mini, now available in LLM

    Source URL: https://simonwillison.net/2025/Jan/31/o3-mini/#atom-everything Source: Simon Willison’s Weblog Title: OpenAI o3-mini, now available in LLM Feedly Summary: o3-mini is out today. As with other o-series models it’s a slightly difficult one to evaluate – we now need to decide if a prompt is best run using GPT-4o, o1, o3-mini or (if we have access) o1 Pro.…

  • Cisco Security Blog: Evaluating Security Risk in DeepSeek and Other Frontier Reasoning Models

    Source URL: https://feedpress.me/link/23535/16952632/evaluating-security-risk-in-deepseek-and-other-frontier-reasoning-models Source: Cisco Security Blog Title: Evaluating Security Risk in DeepSeek and Other Frontier Reasoning Models Feedly Summary: The performance of DeepSeek models has made a clear impact, but are these models safe and secure? We use algorithmic AI vulnerability testing to find out. AI Summary and Description: Yes Summary: The text addresses…

  • Cloud Blog: Blackwell is here — new A4 VMs powered by NVIDIA B200 now in preview

    Source URL: https://cloud.google.com/blog/products/compute/introducing-a4-vms-powered-by-nvidia-b200-gpu-aka-blackwell/ Source: Cloud Blog Title: Blackwell is here — new A4 VMs powered by NVIDIA B200 now in preview Feedly Summary: Modern AI workloads require powerful accelerators and high-speed interconnects to run sophisticated model architectures on an ever-growing diverse range of model sizes and modalities. In addition to large-scale training, these complex models…

  • Hacker News: RamaLama

    Source URL: https://github.com/containers/ramalama Source: Hacker News Title: RamaLama Feedly Summary: Comments AI Summary and Description: Yes Summary: The RamaLama project simplifies the deployment and management of AI models using Open Container Initiative (OCI) containers, facilitating both local and cloud environments. Its design aims to reduce complexities for users by leveraging container technology, making AI applications…

  • Hacker News: A step-by-step guide on deploying DeepSeek-R1 671B locally

    Source URL: https://snowkylin.github.io/blogs/a-note-on-deepseek-r1.html Source: Hacker News Title: A step-by-step guide on deploying DeepSeek-R1 671B locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed guide for deploying DeepSeek R1 671B AI models locally using ollama, including hardware requirements, installation steps, and observations on model performance. This information is particularly relevant…

  • AWS News Blog: DeepSeek-R1 models now available on AWS

    Source URL: https://aws.amazon.com/blogs/aws/deepseek-r1-models-now-available-on-aws/ Source: AWS News Blog Title: DeepSeek-R1 models now available on AWS Feedly Summary: DeepSeek-R1, a powerful large language model featuring reinforcement learning and chain-of-thought capabilities, is now available for deployment via Amazon Bedrock and Amazon SageMaker AI, enabling users to build and scale their generative AI applications with minimal infrastructure investment to…

  • 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…

  • Hacker News: How to run DeepSeek R1 locally

    Source URL: https://workos.com/blog/how-to-run-deepseek-r1-locally Source: Hacker News Title: How to run DeepSeek R1 locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** DeepSeek R1 is an open-source large language model (LLM) designed for local deployment to enhance data privacy and performance in conversational AI, coding, and problem-solving tasks. Its capability to outperform OpenAI’s flagship model…

  • 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…

  • Cloud Blog: How L’Oréal Tech Accelerator built its end-to-end MLOps platform

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-loreals-tech-accelerator-built-its-end-to-end-mlops-platform/ Source: Cloud Blog Title: How L’Oréal Tech Accelerator built its end-to-end MLOps platform Feedly Summary: Technology has transformed our lives and social interactions at an unprecedented speed and scale, creating new opportunities. To adapt to this reality, L’Oréal has established itself as a leader in Beauty Tech, promoting personalized, inclusive, and responsible…