llm-classifier
| llm-classifier | ml-ferret | |
|---|---|---|
| 4 | 3 | |
| 191 | 7,943 | |
| 6.8% | 1.9% | |
| 7.4 | 4.3 | |
| 16 days ago | 4 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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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
ml-ferret
What are some alternatives?
reor - Private & local AI personal knowledge management app.
FLaNK-VectorDB - NiFi and Vector Databases
llm-routing-agent - Agent that routes to different tools - LLM classifier SDK
mlx - MLX: An array framework for Apple silicon
langroid - Harness LLMs with Multi-Agent Programming
predictive-spy - Spying on Apple’s new predictive text model
heynote - A dedicated scratchpad for developers
pong-wars
java-snapshot-testing - Facebook style snapshot testing for JAVA Tests
gateway - A Blazing Fast AI Gateway. Route to 200+ LLMs with 1 fast & friendly API.
Deep_Object_Pose - Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
InstantID - InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥