Tag: max

  • Cloud Blog: Announcing smaller machine types for A3 High VMs

    Source URL: https://cloud.google.com/blog/products/compute/announcing-smaller-machine-types-for-a3-high-vms/ Source: Cloud Blog Title: Announcing smaller machine types for A3 High VMs Feedly Summary: Today, an increasing number of organizations are using GPUs to run inference1 on their AI/ML models. Since the number of GPUs needed to serve a single inference workload varies, organizations need more granularity in the number of GPUs…

  • Cloud Blog: Introducing agent evaluation in Vertex AI Gen AI evaluation service

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-agent-evaluation-in-vertex-ai-gen-ai-evaluation-service/ Source: Cloud Blog Title: Introducing agent evaluation in Vertex AI Gen AI evaluation service Feedly Summary: Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why" behind an agent’s actions – its reasoning, decision-making process,…

  • Simon Willison’s Weblog: Anthropic’s new Citations API

    Source URL: https://simonwillison.net/2025/Jan/24/anthropics-new-citations-api/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic’s new Citations API Feedly Summary: Here’s a new API-only feature from Anthropic that requires quite a bit of assembly in order to unlock the value: Introducing Citations on the Anthropic API. Let’s talk about what this is and why it’s interesting. Citations for Retrieval Augmented Generation…

  • Hacker News: Supercharge vector search with ColBERT rerank in PostgreSQL

    Source URL: https://blog.vectorchord.ai/supercharge-vector-search-with-colbert-rerank-in-postgresql Source: Hacker News Title: Supercharge vector search with ColBERT rerank in PostgreSQL Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses ColBERT, an innovative method for vector search that enhances search accuracy by representing text as token-level multi-vectors rather than sentence-level embeddings. This approach retains nuanced information and improves…

  • Hacker News: Compiler Fuzzing in Continuous Integration: A Case Study on Dafny [pdf]

    Source URL: https://www.doc.ic.ac.uk/~afd/papers/2025/ICST-Industry.pdf Source: Hacker News Title: Compiler Fuzzing in Continuous Integration: A Case Study on Dafny [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text details the development and implementation of CompFuzzCI, a framework for applying compiler fuzzing in the continuous integration (CI) workflow for the Dafny programming language. The authors…

  • Cloud Blog: Migrate Oracle-based applications to Google Cloud and simplify operations

    Source URL: https://cloud.google.com/blog/products/databases/tips-for-migrating-oracle-based-applications-to-google-cloud/ Source: Cloud Blog Title: Migrate Oracle-based applications to Google Cloud and simplify operations Feedly Summary: Last year, Google Cloud and Oracle forged a strategic partnership to accelerate cloud transformation for businesses, allowing them to integrate Oracle’s robust database capabilities within Google Cloud’s environment. This partnership applies to Oracle databases, as well as…

  • Simon Willison’s Weblog: Quoting Laurie Voss

    Source URL: https://simonwillison.net/2025/Jan/21/laurie-voss/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Laurie Voss Feedly Summary: Is what you’re doing taking a large amount of text and asking the LLM to convert it into a smaller amount of text? Then it’s probably going to be great at it. If you’re asking it to convert into a roughly equal…

  • Hacker News: DeepSeek-R1

    Source URL: https://github.com/deepseek-ai/DeepSeek-R1 Source: Hacker News Title: DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents advancements in AI reasoning models, specifically DeepSeek-R1-Zero and DeepSeek-R1, emphasizing the unique approach of training solely through large-scale reinforcement learning (RL) without initial supervised fine-tuning. These models demonstrate significant reasoning capabilities and highlight breakthroughs in…