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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 π€―π
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.
2. Help in Decision Making
Input: I like electronic music and want to go to my first festival this year. Do you have any recommendations or tips for me?
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) ππ§΅
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.
Another important aspect of MLOps is that it enables data scientists to focus on what they do best β developing models and algorithms β while IT takes care of the operational aspects of model deployment and management.
Semantic search is based on the idea of understanding the meaning and context of the words used in a query, rather than just matching the exact keywords to the documents. It focuses on finding relevant results that match the user's intention, rather than matching the keywords.
Just started reading "Functional Python Programming" by Steven F. Lott and it's already blowing my mind! This book is filled with helpful explanations and in-depth insights into the functional programming language Python!
(A thread) ππ§΅
If you have experience with Python but want to dive deeper into its unique structure and rules, this book is a must-read. It breaks down functional programming in Python, highlighting common practices and libraries.
The book covers everything from built-in functions and generator expressions to recursion and high-performance for loops. It also examines the itertools and functools modules for functional programming and explores the PyMonad library.