Tag: token generation

  • Tomasz Tunguz: 1000x Increase in AI Demand

    Source URL: https://www.tomtunguz.com/nvda-2025-05-29/ Source: Tomasz Tunguz Title: 1000x Increase in AI Demand Feedly Summary: NVIDIA announced earnings yesterday. In addition to continued exceptional growth, the most interesting observations revolve around a shift from simple one-shot AI to reasoning. Reasoning improves accuracy for robots – like telling a person to stop and think about an answer…

  • AWS News Blog: Amazon Aurora DSQL is now generally available

    Source URL: https://aws.amazon.com/blogs/aws/amazon-aurora-dsql-is-now-generally-available/ Source: AWS News Blog Title: Amazon Aurora DSQL is now generally available Feedly Summary: Amazon Aurora DSQL is the fastest serverless distributed SQL database for always available applications. It makes it effortless for customers to scale to meet any workload demand with zero infrastructure management and zero downtime maintenance. With its active-active…

  • Cloud Blog: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer

    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-inference-updates-for-google-cloud-tpu-and-gpu/ Source: Cloud Blog Title: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer Feedly Summary: From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications…

  • The Register: Cerebras to light up datacenters in North America and France packed with AI accelerators

    Source URL: https://www.theregister.com/2025/03/11/cerebras_dc_buildout/ Source: The Register Title: Cerebras to light up datacenters in North America and France packed with AI accelerators Feedly Summary: Plus, startup’s inference service makes debut on Hugging Face Cerebras has begun deploying more than a thousand of its dinner-plate sized-accelerators across North America and parts of France as the startup looks…

  • Hacker News: Show HN: In-Browser Graph RAG with Kuzu-WASM and WebLLM

    Source URL: https://blog.kuzudb.com/post/kuzu-wasm-rag/ Source: Hacker News Title: Show HN: In-Browser Graph RAG with Kuzu-WASM and WebLLM Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of Kuzu’s WebAssembly (Wasm) version, showcasing its use in building an advanced in-browser chatbot leveraging graph retrieval techniques. Noteworthy is the emphasis on privacy and…

  • Simon Willison’s Weblog: Structured data extraction from unstructured content using LLM schemas

    Source URL: https://simonwillison.net/2025/Feb/28/llm-schemas/#atom-everything Source: Simon Willison’s Weblog Title: Structured data extraction from unstructured content using LLM schemas Feedly Summary: LLM 0.23 is out today, and the signature feature is support for schemas – a new way of providing structured output from a model that matches a specification provided by the user. I’ve also upgraded both…

  • Hacker News: Privacy Pass Authentication for Kagi Search

    Source URL: https://blog.kagi.com/kagi-privacy-pass Source: Hacker News Title: Privacy Pass Authentication for Kagi Search Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Kagi’s new privacy feature called Privacy Pass, which enhances user anonymity by allowing clients to authenticate to servers without revealing their identity. This significant development aims to offer stronger privacy…

  • Hacker News: Has DeepSeek improved the Transformer architecture

    Source URL: https://epoch.ai/gradient-updates/how-has-deepseek-improved-the-transformer-architecture Source: Hacker News Title: Has DeepSeek improved the Transformer architecture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the innovative architectural advancements in DeepSeek v3, a new AI model that boasts state-of-the-art performance with significantly reduced training times and computational demands compared to its predecessor, Llama 3. Key…