Tag: documentation

  • Cloud Blog: Announcing Terraform providers for Oracle Database@Google Cloud

    Source URL: https://cloud.google.com/blog/products/databases/new-terraform-provider-for-oracle-database-at-google-cloud/ Source: Cloud Blog Title: Announcing Terraform providers for Oracle Database@Google Cloud Feedly Summary: Many organizations use Terraform to manage their cloud deployments through Infrastructure as Code. Today we are excited to share the general availability of Terraform providers for Oracle Database@Google Cloud. You can now deploy and manage Oracle Autonomous Database and…

  • Hacker News: Putting Andrew Ng’s OCR models to the test

    Source URL: https://www.runpulse.com/blog/putting-andrew-ngs-ocr-models-to-the-test Source: Hacker News Title: Putting Andrew Ng’s OCR models to the test Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the launch of a new document extraction service by Andrew Ng, highlighting significant challenges with accuracy in processing complex financial statements using current LLM-based models. These challenges underscore…

  • Hacker News: Show HN: Orra – The missing glue layer for production-ready multi-agent apps

    Source URL: https://github.com/orra-dev/orra Source: Hacker News Title: Show HN: Orra – The missing glue layer for production-ready multi-agent apps Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces Orra, a platform for developing production-ready multi-agent applications that are capable of complex real-world interactions. It emphasizes intelligent reasoning, task coordination across various deployment…

  • Hacker News: Open Source LLMOps Stack

    Source URL: https://oss-llmops-stack.com Source: Hacker News Title: Open Source LLMOps Stack Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces the “Open Source LLMOps Stack,” highlighting the importance of selecting the right technology stack for building LLM-powered applications. It focuses on two primary tools: LiteLLM for managing multiple LLM models and Langfuse…

  • Hacker News: Show HN: MyCoder, an open source Claude-Code alternative

    Source URL: https://github.com/drivecore/mycoder Source: Hacker News Title: Show HN: MyCoder, an open source Claude-Code alternative Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes MyCoder, a command-line AI agent specialized in coding tasks. It utilizes a modular architecture, enabling it to perform complex operations such as code modifications, dependency updates, and documentation…

  • Simon Willison’s Weblog: Deep research System Card

    Source URL: https://simonwillison.net/2025/Feb/25/deep-research-system-card/#atom-everything Source: Simon Willison’s Weblog Title: Deep research System Card Feedly Summary: Deep research System Card OpenAI are rolling out their Deep research “agentic" research tool to their $20/month ChatGPT Plus users today, who get 10 queries a month. $200/month ChatGPT Pro gets 120 uses. Deep research is the best version of this…

  • Cloud Blog: Announcing Claude 3.7 Sonnet, Anthropic’s first hybrid reasoning model, is available on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anthropics-claude-3-7-sonnet-is-available-on-vertex-ai/ Source: Cloud Blog Title: Announcing Claude 3.7 Sonnet, Anthropic’s first hybrid reasoning model, is available on Vertex AI Feedly Summary: Today, we’re announcing Claude 3.7 Sonnet, Anthropic’s most intelligent model to date and the first hybrid reasoning model on the market, is available in preview on Vertex AI Model Garden. Claude 3.7…

  • The Register: If you thought training AI models was hard, try building enterprise apps with them

    Source URL: https://www.theregister.com/2025/02/23/aleph_alpha_sovereign_ai/ Source: The Register Title: If you thought training AI models was hard, try building enterprise apps with them Feedly Summary: Aleph Alpha’s Jonas Andrulis on the challenges of building sovereign AI Interview Despite the billions of dollars spent each year training large language models (LLMs), there remains a sizable gap between building…