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The idea is that you give the libraries and APIs as context with your prompt.
Thank you. But that doesn't work for me. If you mean just the name of the version in the prompt? No way. If you mean all the libary and my code in the contextwindow? Way too small.
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Run your deepseek R1 model on your own hardware.
Only various distillations are available for most people’s hardware, and they’re quite obviously not as good as actual R1 in my testing.
https://reddit.com/r/LocalLLaMA/comments/1ic8cjf/6000_comput...
> 99% of the code in this PR [for llama.cpp] is written by DeekSeek-R1 It's definitely possible for AI to do a large fraction of your coding, and for it to contribute significantly to "improving itself". As an example, aider currently writes about 70% of the new code in each of its releases. I automatically track and share this stat as graph [0] with aider's release notes. Before Sonnet, most releases were less than…
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Go for it - can you share it in a Gist? I use this technique all the time. Here's one written-up example: https://simonwillison.net/2024/Mar/30/ocr-pdfs-images/ - transcript here: https://gist.github.com/simonw/6a9f077bf8db616e44893a24ae1d3...
Here, give it a shot - https://gist.github.com/jodavaho/8fb042fab33c1aaa95cd67144da... I'm at work so I can't try again right now, but last I did was use claude+context, chatGPT 4o with just chatting, Copilot in Neovim, and Aider w/ claude + uploading all the files as context. I even went so far as to grab relevant examples from https://github.com/bevyengine/bevy/tree/latest/examples#exam... , adding relevant ones as…
Or I'd more likely start by asking for options: "What are some options for adding a button to that left panel?" - then pick one that I liked, or prompt it to use an approach it didn't suggest.
After it delivered code, if I didn't like the code it had used I'd tell it: "Don't use that class, use X instead" or "define a separate function for that callback" or whatever.
> 99% of the code in this PR [for llama.cpp] is written by DeekSeek-R1 It's definitely possible for AI to do a large fraction of your coding, and for it to contribute significantly to "improving itself". As an example, aider currently writes about 70% of the new code in each of its releases. I automatically track and share this stat as graph [0] with aider's release notes. Before Sonnet, most releases were less than…
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Yeah, I was using the lightning fast Groq-hosted 70B distilled version.
Did you happen to try the same thing on Deepseek R1 on https://chat.deepseek.com/ ?
> 99% of the code in this PR [for llama.cpp] is written by DeekSeek-R1 It's definitely possible for AI to do a large fraction of your coding, and for it to contribute significantly to "improving itself". As an example, aider currently writes about 70% of the new code in each of its releases. I automatically track and share this stat as graph [0] with aider's release notes. Before Sonnet, most releases were less than…
Could you share how you track AI vs human LoC?
> 99% of the code in this PR [for llama.cpp] is written by DeekSeek-R1 It's definitely possible for AI to do a large fraction of your coding, and for it to contribute significantly to "improving itself". As an example, aider currently writes about 70% of the new code in each of its releases. I automatically track and share this stat as graph [0] with aider's release notes. Before Sonnet, most releases were less than…
aider looks amazing - I'm going to give it a try soon. Just had a question on API costs to see if i can afford it. Your FAQ says you used about 850k tokens for Claude, and their API pricing says output tokens are $15/MTok. Does that mean it cost you under $15 for your Claude 3.5 usage or am I totally off-base? (Sorry if this is has an obvious answer ... I don't know much about LLM API pricing.)
It says that for 850,000 Claude 3.5 output tokens the cost would be $12.75.
But... it's not 100% clear from me if the Aider FAQ numbers are for input or output tokens.
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>AI won't need VSCode Why not? It's still going to be quicker for the AI to use automated refactoring tooling than to manually make all the changes itself.
Maybe I should have said: AI already doesn't need VSCode, or any IDE at all.
> 99% of the code in this PR [for llama.cpp] is written by DeekSeek-R1 It's definitely possible for AI to do a large fraction of your coding, and for it to contribute significantly to "improving itself". As an example, aider currently writes about 70% of the new code in each of its releases. I automatically track and share this stat as graph [0] with aider's release notes. Before Sonnet, most releases were less than…
aider looks amazing - I'm going to give it a try soon. Just had a question on API costs to see if i can afford it. Your FAQ says you used about 850k tokens for Claude, and their API pricing says output tokens are $15/MTok. Does that mean it cost you under $15 for your Claude 3.5 usage or am I totally off-base? (Sorry if this is has an obvious answer ... I don't know much about LLM API pricing.)