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View Code? Open in Web Editor NEWA curated list of language modeling researches for code and related datasets.
Home Page: https://arxiv.org/abs/2311.07989
A curated list of language modeling researches for code and related datasets.
Home Page: https://arxiv.org/abs/2311.07989
phi-1 is finetuned version of phi-1-base on CodeExercises dataset, phi-1-base pretrained is 29% on HumanEval
https://arxiv.org/pdf/2306.11644.pdf
Could you please take a look on Table 4. from your paper https://arxiv.org/pdf/2311.07989.pdf.
In my humble opinion, phi-1 should be reported as an instruction-tuned model, and phi-1-base results should be reported separately
您好,我们公司试用了贵公司的CodeFuse大模型,效果不错,希望能有更进一步的合作,期待能进行一次访问交流。
期待能收到进一步的反馈及联系方式。
We have been working with platform development teams (similar to the one described at Ant Group behind this repo) to write amplified.dev. It's a living document that begins to sketch a vision for a future where developers are amplified, not automated.
I noticed most of the resources listed here are academic papers, but I was wondering if you would be willing to list amplified.dev
under the User-LLM Interaction
or somewhere else in this repo. If yes, then I would open a pull request to make these changes.
Thank you for your consideration!
P.S. I added a mention of this repo in Awesome-DevAI today
Hi,
Nice work! It would be great if you could include my work on code detection (https://arxiv.org/abs/2310.05103)
Thanks!
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