翻译记录

• RAG Questions Need Parsing Too: Turn the User’s String Into Briefs for Retrieval and Generation | Towards Data Science
  https://towardsdatascience.com/question-parsing-in-rag-structure-before-you-search/
• What the Question Parser Extracts from a User String: Keywords, Scope, Shape, Decomposition, Clarification | Towards Data Science
  https://towardsdatascience.com/what-the-question-parser-extracts-from-a-user-string-keywords-scope-shape-decomposition-clarification/
• Cell-Based Architecture for Resilient Payment Systems - American Express Technology
  https://americanexpress.io/cell-based-architecture-for-resilient-payment-systems/
• Nginx as a Reverse Proxy | Engineering Notes
  https://sanyamserver.online/posts/nginx-reverse-proxy/
• Anthropic's Multi-Agent Research Architecture Explained
  https://theaiengineer.substack.com/p/how-anthropic-built-multi-agent-deep
• Drilling Into AI’s Financial Sustainability | Towards Data Science
  https://towardsdatascience.com/drilling-into-ais-financial-sustainability/
• Building Reliable Agentic AI Systems
  https://martinfowler.com/articles/reliable-llm-bayer.html
• https://www.analyticsvidhya.com/blog/2026/06/time-series-forecasting-tools/
  https://www.analyticsvidhya.com/blog/2026/06/time-series-forecasting-tools/
• AI Coding Agents Explained: 13 Primitives Across 5 Tools
  https://www.workingsoftware.dev/ai-coding-agents-explained-13-primitives-across-5-tools/
• https://medium.com/capital-one-tech/dataagents-how-we-turned-9-months-of-analysis-into-10-days-8d6ed482f5d7
  https://medium.com/capital-one-tech/dataagents-how-we-turned-9-months-of-analysis-into-10-days-8d6ed482f5d7
• https://www.a16z.news/p/everything-is-recorded-now
  https://www.a16z.news/p/everything-is-recorded-now
• How to Improve at Sensemaking AI? - Commoncog
  https://commoncog.com/how-to-improve-at-sensemaking-ai/
• https://commoncog.com/how-experts-sensemake/
  https://commoncog.com/how-experts-sensemake/
• https://towardsdatascience.com/pyspark-for-beginners-beyond-the-basics/
  https://towardsdatascience.com/pyspark-for-beginners-beyond-the-basics/
• https://commoncog.com/how-to-make-sense-of-ai/
  https://commoncog.com/how-to-make-sense-of-ai/
• https://cloud.google.com/blog/products/data-analytics/how-the-open-knowledge-format-can-improve-data-sharing/
  https://cloud.google.com/blog/products/data-analytics/how-the-open-knowledge-format-can-improve-data-sharing/
• https://itnext.io/iceberg-lake-for-data-analytics-optimization-guide-c10cb044c0e7
  https://itnext.io/iceberg-lake-for-data-analytics-optimization-guide-c10cb044c0e7
• https://arxiv.org/html/2604.09805v1
  https://arxiv.org/html/2604.09805v1
• https://arxiv.org/html/2601.14470v1
  https://arxiv.org/html/2601.14470v1
• https://docs.aws.amazon.com/aws-certification/latest/ai-professional-01/ai-professional-01.html
  https://docs.aws.amazon.com/aws-certification/latest/ai-professional-01/ai-professional-01.html
• https://towardsdatascience.com/when-pymupdf-cant-see-the-table-parse-pdfs-for-rag-with-azure-layout/
  https://towardsdatascience.com/when-pymupdf-cant-see-the-table-parse-pdfs-for-rag-with-azure-layout/
• https://claude.com/blog/lessons-from-building-claude-code-how-we-use-skills
  https://claude.com/blog/lessons-from-building-claude-code-how-we-use-skills
• https://www.decodingai.com/p/ship-a-knowledge-graph-ontology-in-5-minutes
  https://www.decodingai.com/p/ship-a-knowledge-graph-ontology-in-5-minutes
• https://blog.janestreet.com/formal-methods-at-jane-street-index/
  https://blog.janestreet.com/formal-methods-at-jane-street-index/
• https://www.aleksagordic.com/blog/transformer
  https://www.aleksagordic.com/blog/transformer
• https://www.oreilly.com/radar/the-tidy-house/
  https://www.oreilly.com/radar/the-tidy-house/
• https://learn.microsoft.com/en-us/agent-framework/agents/code_act
  https://learn.microsoft.com/en-us/agent-framework/agents/code_act
• https://www.netflixtechblog.com/high-throughput-graph-abstraction-at-netflix-part-i-e88063e6f6d5
  https://www.netflixtechblog.com/high-throughput-graph-abstraction-at-netflix-part-i-e88063e6f6d5
• https://github.com/anthropics/cwc-workshops/blob/main/rightmodel/.claude/skills/eval-audit-and-sweep/references/audit.md
  https://github.com/anthropics/cwc-workshops/blob/main/rightmodel/.claude/skills/eval-audit-and-sweep/references/audit.md