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| 1. | | Show HN: Open-source LLM for data labeling (huggingface.co) | | 6 points by nihit-desai on May 8, 2024 | past | |
| 2. | | Show HN: Refuel-LLM, a large language model for data annotation and enrichment (refuel.ai) | | 9 points by nihit-desai on Oct 17, 2023 | past | |
| 3. | | Correcting and Improving LLM Predictions Without Labels (stanford.edu) | | 1 point by nihit-desai on Aug 16, 2023 | past | |
| 4. | | Never ask an LLM to generate a confidence score (refuel.ai) | | 17 points by nihit-desai on Aug 7, 2023 | past | |
| 5. | | Show HN: Autolabel, a Python library to label and enrich text data with LLMs (github.com/refuel-ai) | | 153 points by nihit-desai on June 20, 2023 | past | 22 comments | |
| 6. | | LLMs can label data as well as human annotators, but 20 times faster (refuel.ai) | | 55 points by nihit-desai on June 18, 2023 | past | 31 comments | |
| 7. | | AI Canon (a16z.com) | | 518 points by nihit-desai on May 25, 2023 | past | 219 comments | |
| 8. | | Cloud GPU Resources and Pricing (fullstackdeeplearning.com) | | 184 points by nihit-desai on May 21, 2023 | past | 59 comments | |
| 9. | | Show HN: New course on real-world ML systems (corise.com) | | 13 points by nihit-desai on April 20, 2022 | past | 1 comment | |
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