All #Ai articles

The Coven of Wisdom Eindhoven meetup on Nov. 16th, in partnership with AWS and the amazing Samuel Sopeju from AWS, was a total blast! The goal was simple: dive headfirst into the deep end of machine learning using Amazon SageMaker. And we did just that!

AI-powered speech synthesis is getting incredibly realistic. This opens up many possibilities to generate realistic audio based on the text you provide. Whilst relatively fast, the latency still isn’t low enough for “real-time synthesis”. Let’s optimise that!

How can I improve the way someone interacts with ChatGPT? How can I make it feel more natural than a dreadful “chatbot”? Can I create something cool? Those were some of the questions I asked myself recently while starting a two-day hackathon at iO. I’ll take you through what I build, how, and most importantly, why.

In the second part of this series, we will take a look at some of the ways that GPT-3 can be used by content creators to improve their workflow. We will also provide some tips on how to get started with using GPT-3 for your own projects. We will use OpenAI’s Playground to try out the features of GPT-3.

In this first part we will look at how natural language AI can offer developers a lot of benefits, from helping them write code to writing this blog post. Here, we will introduce you to two of the most popular natural language AI tools, OpenAI GPT-3 and GitHub Copilot, and discuss some of the best use cases for each.