ChatGPT

As generative AI starts to become more pervasive in our everyday lives, and usage increases, our understanding of how to get the most out of these tools will naturally improve.

In this blog post, we will delve into the journey from the inception of ChatGPT to the emergence of the open-source community and its impact on the ongoing generative AI technology race.

Since the release of ChatGPT by OpenAI, the tech industry has been in a frenzy, playing catch up and assessing the business impacts of AI chatbots.

This blog explores the power of customized GPT, prompt engineering, leveraging embeddings, and fascinating use cases.

Can ChatGPT help to test a webpage? Can Chat GPT 4 help us with testing? Could it DO the testing for us?

Take a look at our most read and shared blog posts from June 2023.

In this second part of the playbook, we focus on system tests for model integration & monitoring and expand on human in the loop — where the system learns from human input to provide a better and safer user experience.

In this blog post, I will give a short introduction to how ChatGPT can be effectively used in various aspects of software testing, including test data generation, test development, test management, and manual testing.

In the first part of our LLM testing playbook we will introduce the concept of a human centered framework that should govern the entire test process for generative AI solutions.

Geoffrey Hinton discusses well-known concepts in the current context of chatgpt and generative AI.

Take a look at our most read and shared blog posts from April 2023.

Microsoft AI scientists have recently published a research paper exploring the capabilities of OpenAI's GPT-4, a powerful large language model. The researchers argue that GPT-4 demonstrates "sparks" of human-level intelligence, or artificial general intelligence (AGI).