SafeBet.ai is one of those new companies which went viral in 2023 due to the use of artificial intelligence. Their AI has analyzed over 20.000 games in different sports. Making accurate predictions for what will happen in future games.
This way helping a rapidly growing community of sports bettors to beat the books.
Elevate your bets with AI sports picks instead of making emotional decisions. Let SafeBet.ai look at the data!
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Another AI tool which works as magic! It's very accurate in its sports predictions, amazed by the results!
Easy to use software. Helps me to analyze the games in advance.
Great sports picks software which has helped improve my bets. Been using it for 2 weeks now and will definitely continue.
Based on our record, GPT4All seems to be more popular. It has been mentiond 54 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / 9 months 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: 9 months 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 / 10 months 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: 11 months 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: 11 months ago
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