GPT-3 is an LLM (Large Language Model) trained by Open AI. GPT-3 is the technology behind Open AI's ChatGPT. GPT-3 is a text generation model, in that when you give it a text question or prompt, it can generate the answer or a paragraph of following text. The model is able to answer questions on a wide variety of topics in multiple languages, and can even do complex math, and write code.

At Bot Libre we have always been developing artificial intelligence for the Metaverse, we just did not have a name for it. The Bot Libre AI engine has always been designed to have a mind with multiple senses, it's just that with plain chat user interfaces, those senses could not be truly actualized. The Metaverse now provides a rich multi-sensory environment, and we are extremely excited to evolve the Bot Libre AI engine and platform to navigate the Metaverse.

The Bot Libre platform is not just a bot platform, but also a platform for artificial intelligence and deep learning. With Bot Libre you can create your own deep learning neural network for text classification, text generation, image recognition, audio and speech recognition, object detection, games, prediction, data analysis, and more.

The Bot Libre platform is not just a bot platform, but also a platform for artificial intelligence and deep learning. With Bot Libre you can create your own deep learning neural network for text classification, text generation, image recognition, audio and speech recognition, object detection, games, prediction, data analysis, and more.

We have released Bot Libre 9!

Bot Libre now allows you to create generic deep learning analytics and train them through our web API. Deep learning analytics can be used for a wide array of purposes to analyze and make predications on data. This example shows how to train a deep learning analytic to play Connect 4.

You can use either the Bot Libre deep learning library, or the TensorFlow deep learning library. You can choose the inputs, outputs, and layers.

Bot Libre now allows you to create generic deep learning analytics and train them through our web API. Deep learning analytics can be used for a wide array of purposes to analyze and make predications on data. This example shows how to train a deep learning analytic to play checkers.

You can use either the Bot Libre deep learning library, or the TensorFlow deep learning library. You can choose the inputs, outputs, and layers.

The Bot Libre platform is not just a bot platform, but also a platform for artificial intelligence and deep learning. With Bot Libre you can create your own deep learning neural network for image recognition, audio and speech recognition, object detection, games, prediction, data analysis, and more.

We have released Bot Libre 7!

Bot Libre now supports creating and hosting Deep Learning and Analytic services.

Deep Learning and Analytic services are different than bots, as they perform a specific analysis function. They do not chat, nor interact with users, but use artificial intelligence and deep learning to perform analysis such as classifying images, recognizing speech or faces, performing NLP functions, playing games, and analyzing data.

• Deep Learning analytics as a service