joeyxiong

4 ms·

1.
by joeyxiong 2y ago
You are right, “always listening" they mean it's sitting in a low power state listening for a very specific trigger like "Hey Siri" or "OK Google" and literally nothing else.
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by joeyxiong 2y ago
Sorry for the confusion, we are still discussing the paid subscription pricing, but I can be sure that the price of premium subscription will not be higher than $9 per month.
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Ask HN: What do you think about a conversational AI toy?
1 points by joeyxiong 2y ago|1 comments
4.
by joeyxiong 2y ago
sorry, the issue is fixed now
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by joeyxiong 2y ago
BTW, it's free.
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Show HN: I build an editor-style RAG app(incarnamind.com)
2 points by joeyxiong 2y ago|5 comments
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Ask HN: Should I continue the VC process with my cofounder? equity advice?
2 points by joeyxiong 3y ago|1 comments
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by joeyxiong 3y ago
Not really
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by joeyxiong 3y ago
Thanks for pointing it out. It's not your fault at all. I should write the pre-requisite resources downloader in the code as well. Will merge the new code into the main branch.
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by joeyxiong 3y ago
Yeah, the sliding window chunking mechanism appears in stage 2.
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by joeyxiong 3y ago
Yeah, This can definatly be used for local models, but the problem is that most personal computers cannot host large LLMs and the cost is not cheaper than closed LLMs. But for organisations, local LLMs are a better choice.
12.
by joeyxiong 3y ago
Hi, I've pushed the new commit to the main branch. Could you please test it out? If it still has this error, you can check if your doc has relevant metadata. ```` for d in doc: print("metadata:", d.metadata) ``` before fi
13.
by joeyxiong 3y ago
Hi, I created the diagrams using Figma. The retrieval process consists of three stages. The first stage retrieves small chunks from multiple documents to create a document filter using their metadat. This filter is then applied in the secon
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by joeyxiong 3y ago
Thank you for your comment. The sliding window approach allows me to dynamically identify relevant "large chunks," which can be thought of as sections in a document. Often, your questions may pertain to multiple such sections. Usi
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Show HN: IncarnaMind-Chat with your multiple docs using LLMs(github.com)
57 points by joeyxiong 3y ago|28 comments
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IncarnaMind: Dynamic chunking for LLM Retrieval-augmented generation(RAG)(github.com)
3 points by joeyxiong 3y ago|1 comments
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by joeyxiong 3y ago
IncarnaMind ( https://github.com/junruxiong/IncarnaMind ) can chat with your private documents (PDF, TXT) using Large Language Models (LLMs) like GPT. While OpenAI has recently launched a fine-tuning API for GPT models,