3. Writing code on the fly (power of GitHub copilot in the web browser itself) Input: Write code to find the Fibonacci sequence in Python.
@saboo_shubham_
-
AI Writes Movie Script for Travel Surfing Video Intro
By
–
1. Write a Movie Script! Input: Write a script for the intro of my travel video about surfing on Oahu's Northshore. I'm Chris and this is "Chris Tries New Things." The north shore is a legendary spot for surfers and I'll show you why.
-
Microsoft Launches AI-Powered Bing Search with Early Access
By
–
Get ready to up your search game with Microsoft's AI-Powered Bing Search! Early Access Waitlist Now Open! Here are some cool things you can do with the new Bing
-
Abacus AI: Complete MLOps Platform for End-to-End Solutions
By
–
Sounds interesting but don't know where to start? Check out this end-to-end MLOps platform by @abacusai https://
abacus.ai -
MLOps Bridges Data Science and IT for Secure AI Deployment
By
–
At the end of the day, MLOps practices can help organizations to achieve their AI goals more quickly and efficiently. By fostering collaboration between data science and IT teams, MLOps can help to ensure that AI is deployed in a way that is secure, reliable, and scalable.
-
MLOps Enables Data Scientists to Focus on Model Development
By
–
Another important aspect of MLOps is that it enables data scientists to focus on what they do best – developing models and algorithms – while IT takes care of the operational aspects of model deployment and management.
-
MLOps ensures secure reliable scalable model deployment
By
–
This improved collaboration between data science and IT also helps to ensure that models are deployed in a way that is secure, reliable, and scalable. For ex, MLOps practices can help to prevent security breaches and ensure that models continue to perform well in production.
-
MLOps Enables Efficient Collaboration Between Data Scientists IT
By
–
One of the key benefits of MLOps is that it enables data scientists and IT professionals to work together more efficiently and effectively. For example, MLOps practices can help to ensure that data scientists have access to the right infrastructure and tools.
-
MLOps: Bridging the Gap Between Data Science and IT Teams
By
–
Do you ever feel like your data science and IT teams are speaking different languages? That's where #MLOps comes in! By standardizing workflows and processes, MLOps can bridge the gap between these two critical teams. (A thread)
-
Paying for ChatGPT: Understanding the Business Model
By
–
Turns out, you are just paying for chatting with ChatGPT