Generative AI may feel like the new kid on the block, but it's not as different from traditional machine learning as you might think.

In this episode of Talking AI, we’re joined by Simba Khadder, Co-Founder & CEO of Featureform, and Omar Shanti, CTO of Hatchworks AI, to discuss how generative AI builds upon established ML principles and infrastructure. We explore the misconception that it exists as its own little island, when in reality, we see a clear continuity between classic ML and newer AI technologies.

Simba and Omar break down the unique aspects of GenAI, such as prompting and large language models (LLMs), while also highlighting the shared foundations with traditional ML. They also touch on the evolution of retrieval augmented generation (RAG), the ML vs. GenAI lifecycle, and what MLOps teams should consider when it comes to driving value in a business.

Want to stay ahead in the fast-moving world of AI? Tune in to Talking AI where we break down the latest trends and tools in Generative AI, MLOps, and more. Subscribe now, and don't miss out on practical insights from industry experts. Let’s transform your data into real business impact!

Key moments:

The similarities and differences between generative AI and traditional machine learning
How prompts differentiate LLMs from earlier transformer models
The challenges of implementing AI in production versus creating pilot projects
How RAG has evolved and what it could mean for the future
The importance of data as the core foundation for both traditional ML and generative AI
How feature engineering in ML relates to embeddings in LLMs
How an ML lifecycle differs from a GenAI one

Key links:

Mentioned in this episode:

Gen AI Innovation Workshop

Generative AI is revolutionizing industries, staying ahead means not just understanding its capabilities but actively leveraging them. This episode dives into Hatchworks' cutting-edge Generative AI Innovation Workshop, designed to equip businesses with the knowledge and tools needed for success in this transformative landscape. Join us as we explore: 1. Introduction to Generative AI: An overview of how generative AI is reshaping industries and why it's critical for businesses to adapt. 2. Hatchworks' Innovation Workshop: A detailed look into our full-day immersive workshop focused on generative AI. Discover how we combine learning, hands-on ideation, and practical building activities to enhance your understanding and application of AI in your business. 3. Foundational Concepts: Insight into the key concepts of generative AI and how they apply to your specific domain, paving the way for innovative thinking and application. 4. Use Case Development: Learn how we guide participants through the process of identifying and developing real-world use cases tailored to their business and industry needs. 5. Custom GPT Creation: An exciting peek into how we build a custom GPT model based on defined use cases, offering a glimpse into the tailored solutions that can drive your business forward. Whether you're looking to deepen your understanding of generative AI or seeking actionable ways to implement AI strategies in your business, this episode is a must-listen. Dive in with us at the Hatchworks Innovation Workshop and start unlocking the full potential of generative AI for your business.

Generative AI Is Not an Island: Ml’s Core Principles

Talking AI