🔗 Quick access: go.techtrainertim.com/4
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| #!/usr/bin/env python3 | |
| """ | |
| RAG_time Music Generator | |
| A clever demonstration of Retrieval Augmented Generation (RAG) | |
| and time manipulation to create MIDI music. | |
| Scott Joplin meets LLMs: The perfect mashup nobody asked for. | |
| This is what happens when a programmer makes a music pun: | |
| R.A.G. (Retrieval Augmented Generation) + time manipulation = RAGtime |
🔗 Quick access: go.techtrainertim.com/4
Join us for an in-depth exploration of Azure Private Link and learn how to secure your Azure services through private network connectivity.
A curated collection of best practices, tips, and resources to help healthcare professionals and development teams unlock the full potential of GitHub Copilot. Designed for sensitive environments, this guide highlights actionable advice, insightful articles, and compliance-minded practices. 🌟
Welcome to the GitHub Advanced Security (GHAS) Certification Preparation repository. This repository contains resources and practice materials to help you prepare for the GHAS certification.
🔗 Short link to this gist: timw.info/ghasreview
🎥 Associated YouTube video: timw.info/8dc
🔗 Short link to this gist: timw.info/copilotreview
🎥 Associated YouTube video: timw.info/8dc
The market for generative AI in marketing is experiencing explosive growth. Valued at approximately $2.7 billion in 2023, it's projected to expand at a 35% annual rate, reaching over $12 billion by 2028 (1). This surge is driven by increasing adoption across various marketing roles, including content creation, digital marketing, and customer engagement, with roughly 50% of marketing teams currently utilizing or planning to use AI within the next year (2).
Generative AI is becoming indispensable for streamlining content creation, personalizing customer interactions, and automating marketing tasks. Its impact spans across sectors like retail, technology, finance, and media. Leading platforms such as Salesforce, Dynamics, and HubSpot boast millions of active users, indicating a substantial audience eager to master AI-driven marketing tools (3). This interest is further reflected in the high enrollment rates for AI and marketing courses on professional and learni
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