Generative AI Fundamentals with Real-World Energy Use Cases

Generative AI Fundamentals with Real-World Energy Use Cases

06 Dec 202413:12pm - 06 Dec 202414:12pm

Generative AI Fundamentals with Real-World Energy Use Cases

About the Event

Join this DataHour as we make Large Language Models (LLMs) and Generative AI (GenAI) approachable for everyone, from beginners to experts. We’ll kick off with a refresher on key machine learning concepts, setting the stage for understanding LLMs in the wider AI ecosystem. Dive into the math behind LLMs in simple steps, explore impactful real-world use cases, and get hands-on with workflows that bring these models to life. Whether for work or curiosity, this session will empower you with essential knowledge to navigate the future of AI.


Key Takeaways:

  • Fundamental concepts of machine learning relevant to LLMs
  • Step-by-step breakdown of LLM mathematics with links to traditional ML
  • Practical use cases across industries
  • Hands-on workflows for beginners and practitioners
  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Divyanshu Vyas

Divyanshu Vyas

Data Science Researcher at Shell

Divyanshu Vyas is a Machine Learning and AI researcher at Shell and the founder of Petroleum From Scratch, an educational platform dedicated to bridging the knowledge gap in the oil and gas industry. With a deep understanding of both traditional energy systems and advanced AI technologies, Divyanshu combines his expertise to drive innovation within the energy sector. He is passionate about applying AI-driven solutions to optimize processes in oil and gas, focusing on sustainable and data-driven transformations. You can reach him on LinkedIn.

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