Transformer architectures have taken the field of natural language processing (NLP) by storm and pushed recurrent neural networks to the sidelines. Aurlien Gron examines transformers and the amazing language models based on them (e.g., BERT and GPT 2) and shows how you can use them in your projects.

AI assistants are getting a great deal of attention from the industry and research. However, the majority of assistants built to this day are still developed using a state machine and a set of rules. That doesnt scale in production. Tyler Dunn explores how to build AI assistants that go beyond FAQ interactions using machine learning and open source tools.

Game Engines have become more popular in recent years, and game development has become more democratized than ever. Interactive experiences are branching out into new frontiers with the creation of vi …

At MakeMyTrip customers were using voice or email to contact agents for postsale support. In order to improve the efficiency of agents and improve customer experience, MakeMyTrip developed a chatbot, Myra, using some of the latest advances in deep learning. Madhu Gopinathan and Sanjay Mohan explain the high-level architecture and the business impact Myra created.

With the advent of voice-based assistants and chatbots in our homes, our phones, and our computers, businesses, stakeholders, and developers want to learn about language processing. Grishma Jena introduces you to natural language processing (NLP) using Python. You'll start off with textual data and learn how to process it to derive useful insights that can be used in real-world applications.

Sergio Mendez examines critical challenges when implementing AI chatbots and explains how Movistar designed an open source serverless architecture using OpenFaaS on top of Kubernetes and other complementary technologies like NoSQL, brokers to deploy Telegram AI chatbots. Sergio then compares these technologies to "vendor lock-in" services offered by major cloud providers.

New AI solutions in question answering, chatbots, structured data extraction, text generation, and inference all require deep understanding of the nuances of human language. David Talby shares challenges, risks, and best practices for building NLU-based systems, drawing on examples and case studies from products and services built by Fortune 500 companies and startups over the past seven years.

The conversational commerce experience needs to be personalized to allow customers to extend and customize the chat experience with bespoke code. Attend this talk to hear how LivePerson took one of t …