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nlpnerd

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  1. Before you fine-tune, compile: lessons from a payment-risk experiment (seldon-ai.com)
    1 points 0
  2. DeepSeek Unveils Open-Source Tool to Help Cut AI Operating Costs (bloomberg.com)
    2 points 1
  3. We fired the frontier model from two AI pipelines. Here are the receipts (seldon-ai.com)
    1 points 0
  4. Scaledown.ai Launches Constrained Decoding Models (twitter.com)
    1 points 0
  5. Semantic Compute: From Interpreters to Compilers (seldon-ai.com)
    1 points 0
  6. 1 points 0
  7. The Shift from Models to Compound AI Systems (bair.berkeley.edu)
    1 points 0
  8. Skill-Guided Mining and Compilation of LLM Agent Traces (arxiv.org)
    1 points 0
  9. AI applications need better primitives than text generation (seldon-ai.com)
    2 points 0
  10. Snorkel AI triples valuation to $3.5B as demand for AI training data booms (techcrunch.com)
    1 points 2
  11. Jev's Architecture Unmasked (archerhume.com)
    1 points 0
  12. The Great Unbundling of the LLM (seldon-ai.com)
    1 points 2
  13. Understanding Inference and the Economics of Enterprise AI (vistaequitypartners.com)
    1 points 1
  14. The Shape and Feel of the Post-AI Data Stack (iandmacomber.com)
    1 points 1
  15. Running a Software Factory Efficiently at Uber Scale (uber.com)
    2 points 0
  16. Observational reconstruction, then the inverse problem (seldon-ai.com)
    1 points 0
  17. Beyond Demo Day: Sorting and Value Added in Startup Accelerators [pdf] (nber.org)
    2 points 0
  18. The Agentic Awakening: The Three Part Playbook for the Agentic Transition (theagenticawakening.com)
    3 points 0
  19. Jensen: "Nvidia AI Factory Compute Is Becoming an Investable Asset Class" (twitter.com)
    3 points 3
  20. The Philippines' big offshoring industry is growing despite AI (economist.com)
    75 points 15
  21. 1 points 0
  22. User awareness in frontier models: Who's asking shifts what models say (transluce.org)
    1 points 0
  23. Ask HN: Can trivial LLM calls be compiled into conventional data pipelines?

    We are investigating whether recurring LLM workloads can be replaced, where appropriate, by automatically constructed pipelines of regexes, deterministic parsers, traditional ML and NLP models. As an example, suppose an…

    1 points 2
  24. Mozilla's Inaugural 'State of Open Source AI' Report Is Here (blog.mozilla.org)
    16 points 1
  25. Why 95%+ of Startups Get the Forward Deployed Engineer Role Wrong (flybridge.com)
    3 points 0