llm-classifier
FLaNK-VectorDB
| llm-classifier | FLaNK-VectorDB | |
|---|---|---|
| 4 | 4 | |
| 249 | 3 | |
| - | - | |
| 7.2 | 6.7 | |
| 6 months ago | 11 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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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
FLaNK-VectorDB
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