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MemoryCache: Augmenting local AI with browser data

future.mozilla.org

61–70 of 108 posts

Re: MemoryCache: Augmenting local AI with browser data

#61

My usage with browsing is not relevant for this. I don't want to "chat" with my browsin g history. I would simply love my browser would index my bookmarks on my OS so I could search the actual content of those bookmarks. The feedback loop coming gained from chatgtp will I assume always be way better than my local gpt equivalent. But often I bookmark pages where I know the information on there are important enough for…

Isn't this just Safari? *using a modern chip

Re: MemoryCache: Augmenting local AI with browser data

#62
post #60

Was just talking about this on reddit like two days ago Instead of data going to models, we need models come to our data which is stored locally and stay locally. While there are many OSS for Loading personal data, they dont do images or videos. In the future everyone may get their own Model but for now tech is there but product/OSS is missing for everyone to get their own QLORA or RAG or Summarizer. Not just message…

Local compute is so 80s, when people moved away from dumb terminals and mainframes, to PCs.

Yes but this time we call it “distributed computing”or “edge computing” instead.

Re: MemoryCache: Augmenting local AI with browser data

#63

Was just talking about this on reddit like two days ago Instead of data going to models, we need models come to our data which is stored locally and stay locally. While there are many OSS for Loading personal data, they dont do images or videos. In the future everyone may get their own Model but for now tech is there but product/OSS is missing for everyone to get their own QLORA or RAG or Summarizer. Not just message…

> Instead of data going to models, we need models come to our data which is stored locally and stay locally.

We are building this over at https://software.inc! We collect data about you (from your computer and the internet) into a local database and then teach models how to use it. The models can either be local or cloud-based, and we can route requests based on the sensitivity of the data or the capabilities needed.

We're also hiring if that sounds interesting!

Re: MemoryCache: Augmenting local AI with browser data

#64
post #18

Was just talking about this on reddit like two days ago Instead of data going to models, we need models come to our data which is stored locally and stay locally. While there are many OSS for Loading personal data, they dont do images or videos. In the future everyone may get their own Model but for now tech is there but product/OSS is missing for everyone to get their own QLORA or RAG or Summarizer. Not just message…

I assume that training LLMs locally require high-end hardware. Even running a model requires a decent CPU or, even better, a high end GPU, but it is not so expensive as training a model. And usually you have to use hardware that is available on the cloud, so not much of privacy here.

As someone else said you don't need to train any models, also - small LLMs (7b~) can run really well even on a base M1 Macbook air from 3 years ago.

Re: MemoryCache: Augmenting local AI with browser data

#65

Regarding PrivateGPT, if I have a 12GB Nvidia 4070 and an 11GB 2080ti, which LLM should I run? Edited to add: https://www.choosellm.com/ by the PrivateGPT folks seems to have what I needed.

There's a big community discussing exactly that over at https://www.reddit.com/r/LocalLLaMA/ .

+1 r/localllama, 23GB should allow you to run 30b~ models, but honestly some of the new smaller models such as Mistral & friends (Zephyr etc..) are really interesting. You could also Give Mixtral a try if you get a low quant format such as this q3 - https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-G...

Re: MemoryCache: Augmenting local AI with browser data

#66

What is happening at Firefox is quite strange. Like they are walking backwards.

This seems like a sensible step in the right direction IMO, (optional) features such as local, privacy respecting LLMs will help to augment peoples online research, bookmarking, contextual search etc....

It's important that we have Firefox working on such experiments otherwise as Google adds more of their privacy invading features to chrome / chromium it will likely impact negatively on peoples desire to find alternative browsers.

Re: MemoryCache: Augmenting local AI with browser data

#67
post #60

Was just talking about this on reddit like two days ago Instead of data going to models, we need models come to our data which is stored locally and stay locally. While there are many OSS for Loading personal data, they dont do images or videos. In the future everyone may get their own Model but for now tech is there but product/OSS is missing for everyone to get their own QLORA or RAG or Summarizer. Not just message…

Local compute is so 80s, when people moved away from dumb terminals and mainframes, to PCs.

remote computing is so late '90s when people moved away from PCs to servers (the dot in dot com).

Turns out this sort of stuff is cyclical.

Re: MemoryCache: Augmenting local AI with browser data

#68
post #66

What is happening at Firefox is quite strange. Like they are walking backwards.

This seems like a sensible step in the right direction IMO, (optional) features such as local, privacy respecting LLMs will help to augment peoples online research, bookmarking, contextual search etc.... It's important that we have Firefox working on such experiments otherwise as Google adds more of their privacy invading features to chrome / chromium it will likely impact negatively on peoples desire to find alterna…

Yeah, but maybe, if you are constantly losing market share... maybe you should work on things that appeals to a wider audience. Except if you have a trump card and intend to use it as a deus ex machina to suddenly show people you are THE browser, the way forward.

Re: MemoryCache: Augmenting local AI with browser data

#69

Was just talking about this on reddit like two days ago Instead of data going to models, we need models come to our data which is stored locally and stay locally. While there are many OSS for Loading personal data, they dont do images or videos. In the future everyone may get their own Model but for now tech is there but product/OSS is missing for everyone to get their own QLORA or RAG or Summarizer. Not just message…

> Instead of data going to models, we need models come to our data which is stored locally and stay locally. We are building this over at https://software.inc ! We collect data about you (from your computer and the internet) into a local database and then teach models how to use it. The models can either be local or cloud-based, and we can route requests based on the sensitivity of the data or the capabilities needed…

Wow, nice domain. I'd work there for the name alone haha.
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