PROBLEM SOLVING & SEARCH STRATEGIES

4. Microsoft’s cloud computing platform that offers a comprehensive suite of AI and machine learning services for building and deploying models.
7. An end-to-end open-source platform developed by Google for machine learning, known for its flexible ecosystem of tools and libraries.
9. Google's next-generation multimodal model designed to outperform previous LLMs by natively understanding text, images, and video.
13. The fundamental package for scientific computing in Python, providing support for large, multi-dimensional arrays and matrices used by AI tools.
14. A popular Python library for machine learning that features various classification, regression, and clustering algorithms.

1. A key advancement in models like Gemini that allows them to process and combine different types of data (text, audio, video) simultaneously.
2. One of the primary advantages of AI tools, referring to the ability to perform repetitive tasks without human intervention.
3. Built on top of Matplotlib, this library provides a high-level interface for drawing attractive and informative statistical graphics.
5. A specialized AI writing tool designed to transform digital marketing by generating high-quality copy, blog posts, and advertisements.
6. The underlying set of rules or instructions that AI platforms use to process data and make predictions or decisions.
8. A massive open-source library specialized in real-time computer vision, supporting functions like image processing and facial recognition.
10. A medium-to-hard concept referring to the extent to which a human can understand the cause of a decision made by an AI tool.
11. An AI framework based on the Torch library, favored by researchers for its dynamic computational graphs and deep learning capabilities.
12. The foundational Python library used for creating static, interactive, and animated visualizations such as histograms and scatter plots.