Tag: output

  • Simon Willison’s Weblog: How to run an LLM on your laptop

    Source URL: https://simonwillison.net/2025/Jul/18/how-to-run-an-llm-on-your-laptop/ Source: Simon Willison’s Weblog Title: How to run an LLM on your laptop Feedly Summary: How to run an LLM on your laptop I talked to Grace Huckins for this piece from MIT Technology Review on running local models. Apparently she enjoyed my dystopian backup plan! Simon Willison has a plan for…

  • OpenAI : Invideo AI uses OpenAI models to create videos 10x faster

    Source URL: https://openai.com/index/invideo-ai Source: OpenAI Title: Invideo AI uses OpenAI models to create videos 10x faster Feedly Summary: Invideo AI uses OpenAI’s GPT-4.1, gpt-image-1, and text-to-speech models to transform creative ideas into professional videos in minutes. AI Summary and Description: Yes Summary: The text discusses the capabilities of InVideo AI, which leverages OpenAI’s advanced language…

  • Tomasz Tunguz: Hidden Technical Debt in AI

    Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…

  • AWS News Blog: AWS AI League: Learn, innovate, and compete in our new ultimate AI showdown

    Source URL: https://aws.amazon.com/blogs/aws/aws-ai-league-learn-innovate-and-compete-in-our-new-ultimate-ai-showdown/ Source: AWS News Blog Title: AWS AI League: Learn, innovate, and compete in our new ultimate AI showdown Feedly Summary: AWS AI league is a program that helps organizations upskill their workforce by combining fun competition with hands-on learning using AWS AI services. It offers a unique opportunity for both enterprises and…

  • Scott Logic: Visualising the Trade Lifecycle – Phase 1 – Building a React SPA with Multiple AIs

    Source URL: https://blog.scottlogic.com/2025/07/17/visualising-the-trade-lifecycle-phase-1-building-a-react-spa-with-multiple-ais.html Source: Scott Logic Title: Visualising the Trade Lifecycle – Phase 1 – Building a React SPA with Multiple AIs Feedly Summary: A non-React developer built a trade lifecycle simulation using three AI assistants as his coding team, discovering that managing AI agents is rather like conducting an orchestra where each musician excels…

  • Cloud Blog: Build with more flexibility: New open models arrive in the Vertex AI Model Garden

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deepseek-r1-is-available-for-everyone-in-vertex-ai-model-garden/ Source: Cloud Blog Title: Build with more flexibility: New open models arrive in the Vertex AI Model Garden Feedly Summary: In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in…

  • Cloud Blog: How to integrate your Cloud SQL for MySQL database with Vertex AI & vector search

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/integrate-your-cloud-sql-with-vertex-ai-and-vector-search/ Source: Cloud Blog Title: How to integrate your Cloud SQL for MySQL database with Vertex AI & vector search Feedly Summary: Search is a critical component of many modern applications – whether searching for products in an online storefront, finding solutions to your customers’ support cases, or building the perfect playlist. But…

  • AWS News Blog: Announcing Amazon Nova customization in Amazon SageMaker AI

    Source URL: https://aws.amazon.com/blogs/aws/announcing-amazon-nova-customization-in-amazon-sagemaker-ai/ Source: AWS News Blog Title: Announcing Amazon Nova customization in Amazon SageMaker AI Feedly Summary: AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback and model distillation to better address domain-specific requirements across…