rvacareanu

5 ms·

1.
by rvacareanu 2y ago
Initially I experimented with house prediction. But the models have probably seen this data, so I ended up experimenting with random functions. I tried with linear regression with irrelevant features (e.g., NI 1/2 -> 1 informative v
2.
by rvacareanu 2y ago
If you're interested in exploring other metrics, the output of the models and code examples for how to read them are available at: https://github.com/robertvacareanu/llm4regression/tree/main/... For
3.
by rvacareanu 2y ago
Code is available at: https://github.com/robertvacareanu/llm4regression I also added google colab examples: A small example with GPT-4: https://colab.research.google.com/drive/1Bk9uBCBvzuX00Rex-t1.
4.
by rvacareanu 2y ago
Interesting, thanks for sharing! I noticed when the LLMs were trying to explain the prediction they would sometimes erroneously generate that the relation is linear when it was not. This happened when I removed the following part of the pro
5.
by rvacareanu 2y ago
The GitHub repo now contains (1) Links to Google Colab for examples + small-scale evaluation; (2) Jupyter Notebooks for small example + small-scale evaluation. Colab links: - GPT-4 Example: https://colab.research.google.com/
6.
by rvacareanu 2y ago
The GitHub repo now contains (1) Links to Google Colab for examples + small-scale evaluation; (2) Jupyter Notebooks for small example + small-scale evaluation; Colab links: - GPT-4 Example: https://colab.research.google.com/
7.
by rvacareanu 2y ago
The experiments were repeated with 100 random seeds.
8.
by rvacareanu 2y ago
Interesting, thanks for sharing! Will cite it in the next revision.
9.
by rvacareanu 2y ago
Chat examples with GPT-4: https://github.com/robertvacareanu/llm4regression/tree/main/... (the experiments used the API though) For example, for Friedman #1, GPT-4 predicts 12.89 while the true value is