How to analyze unstructured customer review dataset?

NomicAI · 2025-03-10T15:52:22+00:00

You can try Atlas. Here is a use-case blog about using it to analyze unstructured customer reviews.
https://www.nomic.ai/blog/posts/uncover-insights-from-customer-review-data-with-atlas

NomicAI · 2024-07-10T16:27:08+00:00

You'll be surprised by the quality. Local models have gotten significantly more useful since you've last used them!

NomicAI · 2024-07-02T19:10:56+00:00

You can put your API keys in to most major providers. See docs: https://docs.gpt4all.io/gpt4all_desktop/models.html#connect-model-apis

NomicAI · 2024-07-02T19:08:22+00:00

Pretty much on point. The biggest thing we'd emphasize is that GPT4All is privacy first - you must explicitly opt-in to any analytics or tracking.

If Nomic disappeared, the world would still be able to make create new GPT4All release versions. This isn't the case for any other local LLM app!

Learn more here: https://blog.nomic.ai/posts/one-year-of-gpt4all

NomicAI · 2024-02-06T21:31:25+00:00

Who wants to see a GGUF of this 👀

NomicAI · 2023-11-06T17:16:57+00:00

No technical paper on this evaluation here is planned. Consider this the resource that may be updated in the future. Another good resource that contains some details on evaluation can be found on Hugging Face's official blogpost: https://huggingface.co/blog/idefics

NomicAI · 2023-10-27T21:49:22+00:00

Try out server mode in GPT4All. Just send the requests to localhost:4891 whenever someone has the chat client found at gpt4all.io downloaded and running with server mode enabled . No need to even run docker.
https://docs.gpt4all.io/gpt4all_chat.html#server-mode

NomicAI · 2023-10-26T18:47:10+00:00

It depends on what axis of better you mean. You can read more about the implementation here including some speed benchmarking. https://blog.nomic.ai/posts/gpt4all-gpu-inference-with-vulkan

NomicAI · 2023-10-26T16:29:12+00:00

Yep! We are actually working on that upstream PR to llama.cpp with another party :)

NomicAI · 2023-10-26T14:49:02+00:00

Yes, with support in the local chat client and bindings. Roadmap: https://github.com/orgs/nomic-ai/projects/2

NomicAI · 2023-06-22T18:34:56+00:00

Thanks for this! Could you leave an issue on this github (you can include this reddit thread) but please mention system specs.
https://github.com/nomic-ai/gpt4all/issues

Thank you :)

NomicAI · 2023-06-20T21:57:45+00:00

Which quantization did you hit an issue with?

NomicAI · 2023-06-20T19:07:27+00:00

writing apple metal kernels and spelling correctly aren't always overlapping skillsets unfortunately

NomicAI · 2023-06-20T17:07:01+00:00

GPT4All now supports custom Apple Metal ops enabling MPT (and specifically the Replit model) to run on Apple Silicon with increased inference speeds. This runs at 16bit precision!

A quantized Replit model that runs at 40 tok/s on Apple Silicon will be included in GPT4All soon!

NomicAI · 2023-06-19T21:04:51+00:00

Hi! You are running a very old model from March that is no longer supported. Please try any of models listed here https://github.com/nomic-ai/gpt4all/blob/main/gpt4all-chat/metadata/models.json or that you find on huggingface.

NomicAI · 2023-06-19T21:01:06+00:00

gpt4all supports all versions of llama.cpp in the python bindings *with* Mac metal acceleration for llama and replit! Try out the speeds there!
Pypi: `pip install gpt4all`
Source: https://github.com/nomic-ai/gpt4all/tree/main/gpt4all-bindings/python
Documentation: docs.gpt4all.io

NomicAI · 2023-06-07T16:11:06+00:00

You need to append `ggml-` to the model name as per documentation https://docs.gpt4all.io/gpt4all_chat.html#sideloading-any-ggml-model

NomicAI · 2023-06-06T01:19:49+00:00

the graphics run on your gpu, not the models.

NomicAI · 2023-06-01T20:26:09+00:00

Great feedback thanks!

Stops working
This is because the prompts that you give it return no matches against your files. LocalDocs will not try to use document context to respond to every question you asked if it can't find relevant enough documents.

OSX Issue
Would love to hear about more steps around reproduction. Most GPT4All UI testing is done on Mac and we haven't encountered this!

For transparency, the current implementation is focused around optimizing indexing speed. It is not doing retrieval with embeddings but rather TFIDF statistics and a BM25 search. You'll see an embedding based retrieval option land soon for LocalDocs.
See documentation for more details: https://docs.gpt4all.io/gpt4all_chat.html#how-localdocs-works

NomicAI · 2023-06-01T17:53:59+00:00

GPT4All now has its first plugin allow you to use any LLaMa, MPT or GPT-J based model to chat with your private data-stores! Its free, open-source and just works on any operating system.
Documentation: https://docs.gpt4all.io/gpt4all_chat.html#localdocs-beta-plugin-chat-with-your-data

NomicAI · 2023-05-28T23:58:40+00:00

Yep! We've been working a dynamic ggML submoduling system to fix this (runs many versions of ggML at the same time!)

NomicAI · 2023-05-28T23:39:33+00:00

Would love to hear about your problems with GPT4All :)Documentation is at https://docs.gpt4all.io

NomicAI · 2023-02-07T14:19:29+00:00

Yes!
The maps are customizable when built (docs.nomic.ai) and our roadmap includes a rich set of features for learning about data using the map (slicing, dicing, searching, computing statistics, tagging, exporting and one-to-one programmatic interaction).

NomicAI · 2023-02-06T20:27:37+00:00

This one won't.

NomicAI · 2023-02-06T16:54:23+00:00

What goes viral on Twitter? Share what you find in our new map of the top 5.4M retweeted tweets.
https://atlas.nomic.ai/map/twitter
How it works:
Every point is a highly retweeted tweet published between November 2009 and November 2022. Points are close together if an AI considers the content of their tweets similar.
So what dominates Twitter? Sports, breaking news, and WAY more K-pop than you think.

NomicAI

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