Learn to leverage Large Language Models and foundation models within existing software ecosystems using open-source Python in, "Orchestrating Generative AI Workflows to Deliver Business Value, by Hugo Bowne-Anderson, PhD. This presentation explores the nuanced balance between innovation and established practices in the machine learning stack, offering practical applications in text-to-image and text-to-speech technologies like Stable Diffusion and Whisper. Discover the critical role of workflow orchestration in bridging Generative AI with classical Machine Learning for robust, production-ready systems.

#GenerativeAI #MachineLearning #DeepLearning #DataScience #AIInnovation #PythonCoding #NLP #TextToImage #TextToSpeech #AIEngineering #DataVisualization #ReinforcementLearning

Timecodes:
0:00 - Introductions
1:50 - Traditional Software
3:35 - Building Blocks of ML Systems
5:40 - The ML Infrastructure Stack
9:10 - How is Gen AI Changing Data Workflows?
14:27 - Towards Generative AI Systems
17:30 - How do these techniques make Gen AI valuable?
22:30 - How can I do this at home?
23:45 - Q&A

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