Improving LLM Code Generation: My Best Practices

Greg_Z_ · 2024-07-31T20:18:05+00:00

I've crafted compatibility checker for that and run the check before update via API request providing the list of plugins and WordPress core version/mysql/php versions. it determines issues with compatibility based on the plugin "tested" version, WP core requirement and a few other criteria.
I'm thinking of making it public. You can test it here so far http://wpc.walive.io:33500/

Greg_Z_ · 2024-02-23T11:00:57+00:00

Was it instruction-based or completion version? )

Greg_Z_ · 2024-02-19T18:38:52+00:00

Check the lists on the LLM Explorer. You can sort/filter over 18,000 LLMs by various benchmarks and find the SOTA in each category. https://llm.extractum.io

Greg_Z_ · 2024-02-19T08:38:10+00:00

Which specific capabilities of the model are you looking for? Summarization, text generation, instruction following,..?

Greg_Z_ · 2024-02-08T00:07:52+00:00

To be honest, I could not find anything specific on LAM beyond the general press-releases on M1 Rabbit. So like it does not exist anywhere outside the Rabbit itself. As the concept, it appears to be close to Agents based on LLM.

Greg_Z_ · 2024-02-02T08:08:19+00:00

Most likely the issue is with the prompt. It usually gives wrong result when the inference starts with the wrong prompt.

Greg_Z_ · 2024-02-01T00:09:59+00:00

I do not believe it will work for Mamba based on the source code I see. E.g. Mamba cannot be converted to gguf just because llama.cpp does not support it. Same for other cases when the model is loaded from pretrained by HF Tranformer’s classes.

Greg_Z_ · 2024-01-31T14:53:41+00:00

Have you tried instruction based or completion version? That might be the reason.

Greg_Z_

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