Using ChatGPT as Your Programming Assistant

A large language model is basically a machine that can understand and generate text. Depends on how it is trained, sometimes the model can generate something other than text. ChatGPT is such a large language model. It can generate programming code if you prompt it correctly. In this post, you will learn how to make …

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Google at CVPR 2023

Posted by Shaina Mehta, Program Manager, Google This week marks the beginning of the premier annual Computer Vision and Pattern Recognition conference (CVPR 2023), held in-person in Vancouver, BC (with additional virtual content). As a leader in computer vision research and a Platinum Sponsor, Google Research will have a strong presence across CVPR 2023 with …

Using ChatGPT as Your Personalized Teacher

Machine Learning and Data Science are the two most essential technologies in Industry 4.0. Data Science refers to extracting meaningful insights from data, while Machine Learning enables the computer to learn independently without being explicitly programmed. Mastering these fields requires a solid understanding of fundamental concepts, hands-on experience, and guidance from mentors. Traditional learning methods, …

Overcoming Barriers to AI Adoption in Marketing

Given all the hype surrounding Generative AI, it may be hard to believe that not everyone is 100% excited by this development in artificial intelligence. Yet across the enterprise landscape there are corporate executives, functional leaders, and individual contributors calling foul about the rapid Generative AI adoption. Given that investment in Generative AI is expected …

Prompt Engineering for Effective Interaction with ChatGPT

Last Updated on June 16, 2023 With the explosion in popularity of generative AI in general and ChatGPT in particular, prompting has become an increasingly important skill for those in the world of AI. Crafting a prompt, the mechanism of interacting with a large language model (LLM) such as ChatGPT, is not the simple syntactic …

Symphony: Composing Interactive Interfaces for Machine Learning

Interfaces for machine learning (ML), information and visualizations about models or data, can help practitioners build robust and responsible ML systems. Despite their benefits, recent studies of ML teams and our interviews with practitioners (n=9) showed that ML interfaces have limited adoption in practice. While existing ML interfaces are effective for specific tasks, they are …