Difference between revisions of "GPT-4"

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* [https://github.com/imartinez/privateGPT PrivateGPT | GitHub]
 
* [https://github.com/imartinez/privateGPT PrivateGPT | GitHub]
  
PrivateGPT, which allows you to chat directly with your documents (PDF, TXT, and CSV) completely locally, securely, privately, and open-source. PrivateGPT is the top trending Github repo right now and it's super impressive. It uses [https://github.com/nomic-ai/gpt4all Github | GPT4All] to power the chat.  
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PrivateGPT, which allows you to chat directly with your documents (PDF, TXT, and CSV) completely locally, securely, privately, and open-source. PrivateGPT is a project that uses [https://github.com/nomic-ai/gpt4all GPT4All] to achieve a specific task, i.e. querying over documents using the [[LangChain]] framework. It does this by using the [https://github.com/nomic-ai/gpt4all GPT4All] model, however, any model can be used and sentence_[[transformer]] [[embedding]]s, which can also be replaced by any [[embedding]]s that [[LangChain]] supports. PrivateGPT can be used offline without connecting to any online servers or adding any API keys from [[OpenAI]] or Pinecone. To facilitate this, it runs an [[Large Language Model (LLM)]] locally on your computer.
  
 
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Revision as of 20:27, 30 June 2023

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Can accept prompts of both text and images1. This means that it can take images as well as text as input, giving it the ability to describe the humor in unusual images, summarize text from screenshots, and answer exam questions that contain diagrams. rumored to be more than 1 trillion parameters.



GPT-4, known as Prometheus can be used on:



One of ChatGPT-4’s most dazzling new features is the ability to handle not only words, but pictures too, in what is being called “multimodal” technology. A user will have the ability to submit a picture alongside text — both of which ChatGPT-4 will be able to process and discuss. The ability to input video is also on the horizon. - Everything You Need to Know About ChatGPT-4 | Alex Millson - Bloomberg, Time


GPT4All

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A chatbot trained on a massive collection of clean assistant data including code, stories and dialogue. Demo, data and code to train an assistant-style large language model with ~800k GPT-3.5-Turbo Generations based on LLaMa

GPT4ALL: Install 'ChatGPT' Locally (weights & fine-tuning!) - Tutorial
Matthew Berman - In this video, I walk you through installing the newly released GPT4ALL large language model on your local computer. This model is brought to you by the fine people at Nomic AI, furthering the open-source LLM mission. GPT4ALL is trained using the same technique as Alpaca, which is an assistant-style large language model with ~800k GPT-3.5-Turbo Generations based on LLaMa. IMO, it works even better than Alpaca and is super fast. This is basically like having ChatGPT on your local computer. Easy install. Nomic AI was also kind enough to include the weights in addition to the quantized model.

Is GPT4All your new personal ChatGPT?
In this video we are looking at the GPT4ALL model which an interesting (even though not for commercial use) project of taking a LLaMa model and finetuning with a lot more instruction tasks than Alpaca.

PrivateGPT

PrivateGPT, which allows you to chat directly with your documents (PDF, TXT, and CSV) completely locally, securely, privately, and open-source. PrivateGPT is a project that uses GPT4All to achieve a specific task, i.e. querying over documents using the LangChain framework. It does this by using the GPT4All model, however, any model can be used and sentence_transformer embeddings, which can also be replaced by any embeddings that LangChain supports. PrivateGPT can be used offline without connecting to any online servers or adding any API keys from OpenAI or Pinecone. To facilitate this, it runs an Large Language Model (LLM) locally on your computer.