DeepPavlov

Hello everyone!

We are excited to announce the of DeepPavlov 1.3.0 🎅. Here is a sneak peak of what's included in the new release:
◾️ A few-shot text classification model that allows you to operate with a small amount of training data and supports OOS examples.
◾️ A refactored ODQA model optimized to consume less RAM during training.
◾️ A long-anticipated syntax parser and morphotagger.

As a reminder, you can check our multilingual models at the DeepPavlov Demo page. Be the first to try out the DeepPavlov 1.3.0 release and don’t hesitate to share your feedback with us!

https://github.com/deeppavlov/DeepPavlov/releases/tag/1.3.0

Calling interested in ! We conduct System Demo on the open-source DeepPavlov Dream, designed for building complex, generative AI Assistants.
TIME FOR TUTORIALS ON DREAM!
Create a distribution with reasoning and API calls performing utilizing OpenAI ChatGPT to think of actions required to handle user requests and to choose the suitable API to use.

Creating Assistants with DeepPavlov Dream. Welcome to our third tutorial, where we will walk you through the process of building your own personal assistant using DeepPavlov Dream…

Calling all attendees!
Don't miss our System Demo on the open-source DeepPavlov Dream, designed for building complex, generative AI Assistants.

10 July @ 14:00
Demo Session 2 @ Frontenac Ballroom, Queens Quay&Bay

Discover how our platform prioritizes efficiency, modularity, scalability, and extensibility, making it easier to develop complex dialog systems from scratch. Explore our rich library of NLP components and learn how to create scalable, industrial-grade AI assistants.

Dream web-site https://dream.deeppavlov.ai
DeepPavlov Discord https://discord.gg/BY4hB9V2J
List of available Guides https://docs.dream.deeppavlov.ai/en/guides

DeepPavlov Dream Create multi-skill Generative AI Assistants with DeepPavlov Dream