I implemented it myself in my bot, defining what is acceptable based on how people chat and what they might mean when they say certain things. I never actually used that feature for Cohere Command R.
The dataset I am using is just the chat, the user chat, and it is not that big. It is just a few months, and I always clear the chats after a few months. So it is just normal content, nothing extraordinary; I do not think it can be quantified as big data.
Cohere Command R works for what I need. I know there are many other models and many other free models. I have tried CodeGemma, but it is not for what I was trying to do; it is more about coding. I wanted something interactive, focusing on the language side of it, not the coding side.
Personally, compared to other models, Cohere Command R is pretty easy to set up and good for what I need as of now.
Deploying this solution is pretty similar to working with any other model for me. I cannot really say much about complexities, but I am a bit technical, so the process is quite the same.
Honestly, I have never needed technical support, but I think if you could improve on that, it would be acceptable. I do not know about the pricing; for me, it is kind of too much. Of course, I am using the free models, but if I could get the newer models, I think they are interesting.
I know we are talking about Cohere Command R for now, but I think there are some other models that I have seen some interest in, like Embed 4. If the pricing could be adjusted, that would be better because the pricing is kind of high.
Of course, it matters; for organizations, it is acceptable, but for personal use like mine, it is just a hobby project. Spending that much money on something that you do not earn from is not ideal. So for people testing or using it for hobby projects, I think you could reduce the pricing a bit. But for now, I am using Cohere Command R for free.
I have been using it occasionally for around two to three years.
I have never interacted with the support team and do not know anyone who has, so I rate it five. I am not saying it is bad; I just have never tried it before, and I do not want to give it a lower score. So I will say five because I hope it is good.
It takes a few hours, a lot of hours, to deploy Cohere Command R. Not days, but just a lot of hours debugging and dealing with issues when mostly it was on the AWS side, like exposing the API and the static routes. It was just the AWS side of it that took a lot of time, but the model itself was not that complicated.
I did not purchase it from Cohere; I think it was free by the time I was working with it. I am not sure. It was a while ago when I started using it, but I do not know if the pricing has changed. I did not pay for it back then.
I am still using Cohere and maybe Cloudinary.
I work with Cohere Command R occasionally, but not so much.
I am familiar with Cohere Command R, and I just use it as a model. It is pretty similar to the others that I use, so I cannot really say anything specific about it.
I do not use it every time, just occasionally.
I never tried real-time analysis; I never needed to.
I would rate this review a 7.