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Out of interest, what are you self-hosting and where? Also isn't the core product here the tuning of an LLM to this use-case, if so how does that work with self

Out of interest, what are you self-hosting and where? Also isn't the core product here the tuning of an LLM to this use-case, if so how does that work with self-hosting?

imiric 3y ago
> Out of interest, what are you self-hosting and where? Nothing yet, but I've been playing around with a few models on vast.ai, and want to run them in my homelab soon. The low price of used 3090s and the increased performance and efficiency of new open source models makes this relatively accessible now. > Also isn't the core product here the tuning of an LLM to this use-case, if so how does that work with self-hosting? The core product here seems to be the ability to use any LLM inside an IDE. I've been avoiding proprietary LLMs for this purpose, so I'm interested in a solution that integrates with local models.
- danpalmer 3y ago
  Thanks, and yeah I did a bit more reading and this does seem to be much more about the IDE integration than the model. I'm curious as to why, because the IDE integration seems to be the "easy bit" – I've used 3 different ones now and they're all about the same. I'd have expected that the main lever the product has in being better than others is having a custom model that understands code edits much more than others.
  - imiric 3y ago
    > I'd have expected that the main lever the product has in being better than others is having a custom model that understands code edits much more than others. True, but this is not something this particular product would solve. There are already models specifically trained to work on code. What's appealing to me is the flexibility of being able to choose which one to use, rather than my workflow being tied to a specific product or company. > the IDE integration seems to be the "easy bit" I admittedly haven't researched this much, but this is not currently the case. There is no generic API for LLMs that IDEs can plug into, so all plugins must target a specific model. We ultimately need an equivalent of a Language Server Protocol for LLMs, and while such a project exists[1], it looks to be in its infancy, understandably so. [1]: https://github.com/huggingface/llm-ls https://github.com/huggingface/llm-ls

Out of interest, what are you self-hosting and where? Also isn't the core product here the tuning of an LLM to this use-case, if so how does that work with self-hosting?

imiric 3y ago

> Out of interest, what are you self-hosting and where? Nothing yet, but I've been playing around with a few models on vast.ai, and want to run them in my homelab soon. The low price of used 3090s and the increased performance and efficiency of new open source models makes this relatively accessible now. > Also isn't the core product here the tuning of an LLM to this use-case, if so how does that work with self-hosting? The core product here seems to be the ability to use any LLM inside an IDE. I've been avoiding proprietary LLMs for this purpose, so I'm interested in a solution that integrates with local models.

danpalmer 3y ago
Thanks, and yeah I did a bit more reading and this does seem to be much more about the IDE integration than the model. I'm curious as to why, because the IDE integration seems to be the "easy bit" – I've used 3 different ones now and they're all about the same. I'd have expected that the main lever the product has in being better than others is having a custom model that understands code edits much more than others.
- imiric 3y ago
  > I'd have expected that the main lever the product has in being better than others is having a custom model that understands code edits much more than others. True, but this is not something this particular product would solve. There are already models specifically trained to work on code. What's appealing to me is the flexibility of being able to choose which one to use, rather than my workflow being tied to a specific product or company. > the IDE integration seems to be the "easy bit" I admittedly haven't researched this much, but this is not currently the case. There is no generic API for LLMs that IDEs can plug into, so all plugins must target a specific model. We ultimately need an equivalent of a Language Server Protocol for LLMs, and while such a project exists[1], it looks to be in its infancy, understandably so. [1]: https://github.com/huggingface/llm-ls https://github.com/huggingface/llm-ls