llm-classifier
FLiPStackWeekly
| llm-classifier | FLiPStackWeekly | |
|---|---|---|
| 4 | 85 | |
| 191 | 14 | |
| 6.8% | - | |
| 7.4 | 9.9 | |
| 16 days ago | 4 days ago | |
| Python | ||
| GNU General Public License v3.0 or later | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
llm-classifier
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Lessons after a Half-billion GPT Tokens
We do this for the null hypothesis - is uses an LLM to bootstrap a binary classifier - which handles null easily
https://github.com/lamini-ai/llm-classifier
- FLaNK Stack 29 Jan 2024
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Good old-fashioned AI remains viable in spite of the rise of LLMs
LLMs introduced zero-shot learning, or “prompt engineering” which is drastically easier to use and more effective than labeling data.
You can also retrofit “prompt engineering” onto good old fashion ML like text classifiers. I wrote a library to do just that here: https://github.com/lamini-ai/llm-classifier
IMO, it’s a short matter of time before this takes over all of what used to be called “deep learning”.
- How to use a LLM to classify text
FLiPStackWeekly
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