翻译记录

• Attention Is All You Need
  https://arxiv.org/html/1706.03762v7
• Snowflake CoCo for the Power BI Practitioner | by Josh Crittenden | Snowflake Builders Blog: Data Engineers, App Developers, AI, & Data Science | Jun, 2026 | Medium
  https://medium.com/snowflake/snowflake-coco-for-the-power-bi-practitioner-25037b612dca
• CEO Ash Kulkarni's organizational announcement to Elastic employees | Elastic Blog
  https://www.elastic.co/blog/ceo-ash-kulkarni-announcement-to-elastic-employees
• Anthropic Lead: HTML Increasingly Better Than Markdown at Keeping Humans Engaged in Agentic Loops - InfoQ
  https://www.infoq.com/news/2026/06/anthropic-html-markdown-agent/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global
• karpathy/nanoGPT: The simplest, fastest repository for training/finetuning medium-sized GPTs.
  https://github.com/karpathy/nanoGPT?utm_source=chatgpt.com
• The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.
  https://jalammar.github.io/illustrated-transformer/?utm_source=chatgpt.com
• Rules for Understanding Language Models - InfoQ
  https://www.infoq.com/presentations/5-principles-llm-behavior/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global
• Machine Learning System Design: 10 Interview Problems Solved
  https://www.analyticsvidhya.com/blog/2026/06/system-design-for-ml-interviews-real-problems-solved/
• Introducing OpenRL: A self-hosted post-training API for fine-tuning LLMs | Google Open Source Blog
  https://opensource.googleblog.com/2026/06/introducing-openrl-a-self-hosted-post-training-api-for-fine-tuning-llms.html
• context-specs/docs/README.md at main · capitalone/context-specs
  https://github.com/capitalone/context-specs/blob/main/docs/README.md
• Path to high-quality LLM-based Dasher support automation - DoorDash
  https://careersatdoordash.com/blog/large-language-modules-based-dasher-support-automation/
• The Problem is Prompt Debt
  https://www.dbreunig.com/2026/06/22/the-problem-is-prompt-debt.html
• Stop Getting Good at Protocols. Get Good at Agent Experience. – O’Reilly
  https://www.oreilly.com/radar/stop-getting-good-at-protocols-get-good-at-agent-experience/
• Making a PDF’s Images Searchable for RAG, Without Paying to Read Them All | Towards Data Science
  https://towardsdatascience.com/making-a-pdfs-images-searchable-for-rag-without-paying-to-read-them-all/
• Inside MAI-Thinking-1: How Microsoft Built a Reasoning Model From Scratch | by Dave R - Microsoft Azure & AI MVP☁️ | Jun, 2026 | ITNEXT
  https://itnext.io/inside-mai-thinking-1-how-microsoft-built-a-reasoning-model-from-scratch-fe3481f2ed88
• https://arxiv.org/html/2606.24597v1
  https://arxiv.org/html/2606.24597v1
• Help Employees Get Better—Not Just Faster—with AI
  https://hbr.org/2026/06/help-employees-get-better-not-just-faster-with-ai
• Pydantic AI v2: capabilities, a leaner core, and the Harness
  https://pydantic.dev/articles/pydantic-ai-v2?utm_medium=social&utm_source=x&dub_id=u2lujaFfEuUKtvlB
• Agent Auth: A lawyer’s day in court | CNCF
  https://www.cncf.io/blog/2026/06/23/agent-auth-a-lawyers-day-in-court/
• Designing MCP tools for agents: Lessons from building Datadog’s MCP server | Datadog
  https://www.datadoghq.com/blog/engineering/mcp-server-agent-tools/
• How we migrated our static analyzer from Java to Rust | Datadog
  https://www.datadoghq.com/blog/engineering/how-we-migrated-our-static-analyzer-from-java-to-rust/
• Migrating LiteLLM to Rust - Building the Fastest and Litest AI Gateway | liteLLM
  https://docs.litellm.ai/blog/litellm-rust-launch
• Understanding the BM25 full text search algorithm – Evan Schwartz
  https://emschwartz.me/understanding-the-bm25-full-text-search-algorithm/
• Principal Drift – O’Reilly
  https://www.oreilly.com/radar/principal-drift/
• Notes on the Industry Job Search
  https://alisawuffles.github.io/blog/job-search/
• Encoding Categorical Data for Outlier Detection | Towards Data Science
  https://towardsdatascience.com/encoding-categorical-data-for-outlier-detection/
• CCBA-Footer
  https://aws.amazon.com/blogs/architecture/secure-multi-tenant-rag-with-amazon-bedrock-and-verified-permissions/
• CCBA-Footer
  https://aws.amazon.com/blogs/architecture/modernizing-financial-analytics-with-amazon-sagemaker-unified-studio/
• CCBA-Footer
  https://aws.amazon.com/blogs/architecture/architecting-ai-powered-resilience-framework-on-aws/
• Loop Engineering – O’Reilly
  https://www.oreilly.com/radar/loop-engineering/