Open Source
GPT4All is open source, allowing developers to freely access, modify, and distribute the code to suit their needs, which fosters innovation and transparency.
Community Support
Being part of an open-source ecosystem, GPT4All benefits from community-driven support, where a large number of developers can contribute to its improvement, report issues, and provide solutions.
Flexibility
Developers can customize GPT4All for various applications, making it versatile for different use cases beyond what might be supported by closed-source models.
Cost Effective
Utilizing an open-source model can significantly reduce costs for businesses as they do not have to pay for licensing fees that are typically associated with proprietary solutions.
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Overall, GPT4All is regarded as a good option for those seeking more autonomy and customization in their use of language models. It is particularly beneficial for developers and researchers who need to run experiments without the constraints of cloud dependencies.
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The latest comments about GPT4All on Reddit. This can help you find out how popualr the product is and what people think about it.
Hi it's me again! Over the past few days, I've been testing multiples ways to work with LLMs locally, and so far, Ollama was the best tool (ignoring UI and other QoL aspects) for setting up a fast environment to test code and features. I've tried GPT4ALL and other tools before, but they seem overly bloated when the goal is simply to set up a running model to connect with a LangChain API (on Windows with WSL). - Source: dev.to / 3 months ago
Generative AI is hot, and ChatGPT4all is an exciting open-source option. It allows you to run your own language model without needing proprietary APIs, enabling a private and customizable experience. - Source: dev.to / 8 months ago
GPT4ALL is built upon privacy, security, and no internet-required principles. Users can install it on Mac, Windows, and Ubuntu. Compared to Jan or LM Studio, GPT4ALL has more monthly downloads, GitHub Stars, and active users. - Source: dev.to / 10 months ago
Thanks for taking the time to respond. I was thinking of something local, especially in light of: Google's Gemini AI caught scanning Google Drive PDF files without permission https://news.ycombinator.com/item?id=40965892 [2] https://github.com/Mintplex-Labs/anything-llm [4] https://recurse.chat/blog/posts/local-docs [5] - Source: Hacker News / 11 months ago
I run one. I built an iMessage-like frontend to it using plain JS and a Python websocket backend. I mostly just use it for curiosity and playing with different prompts. I only have 16GB of RAM to dedicate to it, so I use an 8B parameter model which is enough for fun and chitchat, but I don't find it good enough to replace ChatGPT. https://github.com/nomic-ai/gpt4all. - Source: Hacker News / almost 2 years ago
You can run the likes of GPT4All now, you can even use it to query local factual documents and source material, rather than make stuff up: https://github.com/nomic-ai/gpt4all. Source: almost 2 years ago
Agreed. Gpt4all[1] offers a similar 'simple setup' but with application exe downloads, but is arguably more like open core because the gpt4all makers (nomic?) want to sell you the vector database addon stuff on top. [1]https://github.com/nomic-ai/gpt4all I like this one because it feels more private / is not being pushed by a company that can do a rug pull. This... - Source: Hacker News / almost 2 years ago
For what it's worth, I haven't tried them yet, but there are also open-source large-language models and text-to-speech models. Source: almost 2 years ago
Neat! I've been working on Khoj, which does something analogous. Khoj works best with natural language documents, so it's good with documentation (i.e., READMEs), not so much with code. First I've heard of GPT4All; this is super awesome. Source: almost 2 years ago
Then there are graphical user interfaces like text-generation-webui and gpt4all for general purpose chat. There are also KoboldAI and SillyTavern, they have focus more on storytelling and roleplay and have tools to improve that. Source: almost 2 years ago
Specifically with this project: https://github.com/nomic-ai/gpt4all. Source: about 2 years ago
What is way beyond that is that that capability of doing natural language processing and then writing code based off the interpretation of that language processing has already escaped into the wild. You dont HAVE to swipe credit card with openai you just have to take up the new skill of beginning junior data scientist :] gpt4all is free and runs on whatever your computer has available. Try the one click installer... Source: about 2 years ago
You might want to try some of the discord channels connected to some of the repos. i.e. GPT4All https://github.com/nomic-ai/gpt4all scroll down for the discord link. - Source: Hacker News / about 2 years ago
I've been using for fun GPT4All on my Mac Mini M1 and it's surprisingly usable. It's slow but it's private as long as I can tell since it run locally. There are multiple models available. Source: about 2 years ago
Gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue (https://github.com/nomic-ai/gpt4all). Source: about 2 years ago
> I wonder if AI will ever scale down to personal hardware Happened last week. Download here.[1] https://github.com/nomic-ai/gpt4all. - Source: Hacker News / about 2 years ago
I compiled llama.cpp to use with GPT4ALL and is providing good output and I am happy with the results. However unfortunately for a simple matching question with perhaps 30 tokens, the output is taking 60 seconds. Output really only needs to be 3 tokens maximum but is never more than 10. I used the standard GPT4ALL, and compiled the backend with mingw64 using the directions found here. I did use a different fork of... Source: about 2 years ago
Https://github.com/nomic-ai/gpt4all Https://www.semianalysis.com/p/google-we-have-no-moat-and-neither. Source: about 2 years ago
So, I have noticed GPT4All some time ago, but it did not really blew my socks off. Source: about 2 years ago
From there you have lots of other models: One of the best places to easily start using multiple models is using a multiple model UI program lik GPT4All, there are also some programs that provide access to more models or use different ways of interfacing with them, here are some of what I've found are the best / most popular programs to play around with lots of different models and compare them: LocalAI, ... Source: about 2 years ago
I'm talking about GPT4All and all the projects that depend on it. Source: about 2 years ago
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