iko.ai might be a bit more popular than Talk to Books by Google. We know about 13 links to it since March 2021 and only 9 links to Talk to Books by Google. 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.
Talk to Books is an AI product by Google that can be used to interact with the content written in books that are already published. Source: about 1 year ago
You can also use Google's Talk to Books that uses a neural network to search them. It's very handy! Source: over 1 year ago
Talk to books (https://books.google.com/talktobooks) : With talktobooks, you can talk to a book like in the same way as we talk to humans. Source: over 1 year ago
While I couldn't find the quote you mentioned, you can try using Talk to Books, an AI where you ask a question and it shows a quote from a book. Source: over 1 year ago
For example, projects such as https://books.google.com/talktobooks/ that allow people to experience AI without programming. - Source: Hacker News / over 1 year ago
We built a fascinating platform, https://iko.ai, that allows you to train, track, package, deploy, and monitor machine learning models with real-time collaborative notebooks on your own Kubernetes clusters. Source: almost 2 years ago
Hi, Edwin. I'm in the process of integrating Stripe to https://iko.ai. I recently discovered Portal (https://stripe.com/docs/billing/subscriptions/integrating-customer-portal) and I thank you for that. Less code for me. I'm a bit ashamed to say, but I'm having trouble with checking if the customer has a valid subscription. I'm currently only storing the customer_id in the database and retrieving the information... - Source: Hacker News / about 2 years ago
That was one the reasons we do "bring your own compute" with https://iko.ai so people who already have a billing account on AWS, GCP, Azure, DigitalOcean, can just get the config for their Kubernetes clusters and link them to iko.ai and their machine learning workloads will run on whichever cluster they select. If you get a good deal from one cloud provider, you can get started quickly. It's useful even for... - Source: Hacker News / about 2 years ago
We built an internal platform to streamline this that allows us to train, package, deploy, and monitor models (very shameless plug for our product https://iko.ai that we started because I was tired of watching colleagues look from the window to see if their train was here because they had to come to the office to train their model on the "powerful machine" and they spent 6 hours in commute every day and at some... Source: about 2 years ago
We built https://iko.ai which offers real-time collaborative notebooks to train, track, package, deploy, and monitor machine learning models. Source: over 2 years ago
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