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Articole: 29
  1. Printing Press lets the consumer of an API synthesize the exact interface they need.

  2. [Note] Impact of AlphaEvolve across fields

  3. [Note] Combee, ACE, GEPA: prompt self-improvement outside the lab

  4. A practitioner's account of 16 AI-driven optimization experiments on Apache Arrow's select_k_unstable kernel, from 2x to 396x.

  5. KV Caches again

    [Note] KV Caches again

  6. Claude Code Plugins as MVPs

    [Note] Claude Code Plugins as MVPs

  7. Keystatic for CMS

    [Note] Keystatic for CMS

  8. Anthropic's Cowork

    [Note] Anthropic's Cowork

  9. Two years ago I started working on something new based on a strong conviction that data was about to become exponentially more important.

  10. Snowflake's 2025 keynote announcement regarding dbt Core clarifies dbt Labs' controversial shift to change dbt Fusion's licensing model.

  11. Snowflake's Cortex AISQL represents a paradigm shift in integrating large language models into data systems as structured, composable functions rather than opaque tools.

  12. A comprehensive approach to building scalable, composable pipelines for generating synthetic training data using Large Language Models, specifically focusing on creating question-answer pairs from documents.

  13. How synthetic data is used to train and fine-tune large language models, with a focus on Meta's open-source synthetic-data-kit.

  14. A deep dive into Meta's synthetic-data-kit architecture, a toolkit designed to generate high-quality synthetic datasets for fine-tuning Large Language Models.

  15. The differences and similarities of DX and UX.

  16. Why Apache DataFusion is one of the most important open source projects right now.

  17. Learn about the latest advancements in execution engines and data processing at scale from the recent VeloxCon conference in San Jose.

  18. The overlap between MLOps and Data Engineering

  19. Frames, and SQL Window Functions.

  20. New Opportunities in the API Economy.

  21. Working with Dates in SQL, with examples in DuckDB.

  22. Working with Date and Time Types in SQL.

  23. How to add a new data type in Trino.

  24. How Streaming Data Can be Ingested in Snowflake.

  25. Introduction to how Snowflake's pricing works.

  26. About Data Observability.

    What's Data Observability and why it matters?

  27. My experience with the Data Stack Show

  28. Data Ingestion Standards.

    What Airbyte, Singer and Kafka Connect have in common

  29. Snowflake vs Databricks