Speaking of which, a man in neighboring Colorado might have some buyer’s regret when he learned that it would take five days to fully charge his brand-new electric Hummer at home. Couldn’t people just decide what car works best for them? It’s all pretty boneheaded, but then again, outright bans on ICE vehicle sales by some arbitrary and unrealistically soon deadline don’t seem too smart either. But it does present a somewhat lengthy list of the authors’ beefs with EVs, which mainly focus on the importance of the fossil fuel industry in Wyoming. The bill, which would only “encourage” the phase-out of EV sales in the state by 2035, is essentially meaningless, especially since it died in committee before ever coming close to a vote. Headlines like that certainly raise eyebrows, which is the intention, of course, but even a quick glance at the proposed legislation might have revealed that the “ban” was nothing more than a non-binding resolution, making this little more than a political stunt. The media got their collective knickers in a twist this week with the news that Wyoming is banning the sale of electric vehicles in the state. You have to decide.Ĭontinue reading “Understanding AI Chat Bots With Stanford Online” → Posted in Artificial Intelligence Tagged chatbot, GPT-3, stanford Sure, you can do a conventional search and find wrong things, but it will be embedded in a lot of context that might help you decide it is wrong and, hopefully, some other things that are not wrong. But if you are using it as, say, your search engine, getting the wrong answer won’t amuse you. As a demo or a gimmick, that’s not a problem. One of the interesting things is that he shows some questions that one chatbot will answer reasonably and another one will not. So where do you go to learn what’s really going on? How about Stanford? Professor knows a lot about how these things work and he shares some of it in a recent video you can watch below. They aren’t sentient or alive, despite some claims to the contrary. The problem is, the popular press has no idea what’s going on with these things.
#GPT 3 CHATBOT ONLINE FULL#
The news is full of speculation about chatbots like GPT-3, and even if you don’t care, you are probably the kind of person that people will ask about it. Continue reading “Why LLaMa Is A Big Deal” → Posted in Artificial Intelligence, Featured, Slider Tagged artifical intelligence, ChatGPT, GPT-3, inference, llama, LLM Model weights are available through Meta with some rather strict terms, but they’ve been leaked online and can be found even in a pull request on the GitHub repo itself. There’s even a version written in Rust! A rough rule of thumb is anything with more than 4 GB of RAM can run LLaMa.
#GPT 3 CHATBOT ONLINE CODE#
His code was focused on running LLaMa-7B on your Macbook, but we’ve seen versions running on smartphones and Raspberry Pis. He released llama.cpp on GitHub, which runs the inference of a LLaMa model with 4-bit quantization. While this was an important step forward for the research community, it became a huge one for the hacker community when rolled in. While Meta recommended that users have at least 10 GB of VRAM to run inference on the larger models, that’s a huge step from the 80 GB A100 cards that often run these models. LLaMa was unique as inference could be run on a single GPU due to some optimizations made to the transformer itself and the model being about 10x smaller. Their research paper showed that the 13B version outperformed GPT-3 in most benchmarks and LLama-65B is right up there with the best of them. LLaMa is a transformer language model from Facebook/Meta research, which is a collection of large models from 7 billion to 65 billion parameters trained on publicly available datasets. We’ve discussed why Stable Diffusion matters and even talked about how it works. In many ways, this is a bit like Stable Diffusion, which similarly allowed normal folks to run image generation models on their own hardware with access to the underlying source code. In a nutshell, LLaMa is important because it allows you to run large language models (LLM) like GPT-3 on commodity hardware. Either way, what’s the big deal? It’s just some AI thing. You might have heard about LLaMa or maybe you haven’t.
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