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nihit-desai

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  1. Show HN: Open-source LLM for data labeling (huggingface.co)

    And you can try out the models live here: https://labs.refuel.ai/playground

    6 points 0
  2. Show HN: Refuel-LLM, a large language model for data annotation and enrichment (app.refuel.ai)
    9 points 1
  3. Correcting and Improving LLM Predictions Without Labels (hazyresearch.stanford.edu)
    1 points 0
  4. Never ask an LLM to generate a confidence score (refuel.ai)
    17 points 0
  5. Show HN: Autolabel, a Python library to label and enrich text data with LLMs (github.com)

    Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a…

    153 points 24
  6. LLMs can label data as well as human annotators, but 20 times faster (refuel.ai)
    55 points 36
  7. AI Canon (a16z.com)
    518 points 228
  8. Cloud GPU Resources and Pricing (fullstackdeeplearning.com)
    184 points 61
  9. Show HN: New course on real-world ML systems (corise.com)
    13 points 2