Generative AI: From Building Custom LLMs to Strategies for Optimizing Model Training Costs

Generative AI, a powerful area of artificial intelligence, has advanced from simple algorithms to complex models that can produce human-like text, images, and music.

This white paper looks at how businesses can harness generative AI to boost innovation, efficiency, and growth.

It covers the evolution of generative AI, key technical concepts, and strategies for managing the costs of training models, providing a detailed guide on training custom models.

What’s inside?

1. Journey Through the Evolution of Generative AI

2. Comparison: Generative AI vs. AI vs. ML

3. Core Technical Principles of Generative AI

4. Exploring Large Language Models (LLMs) in Generative AI

5. Building Custom Large Language Models

6. Advanced Techniques for Training Generative AI Models

7. Strategies for Optimizing Generative AI Model Training Costs

8. Measuring Return on Investment (ROI) for AI Initiatives

9. Unveiling Uncommon Applications of Generative AI

10. Anticipating Future Trends and Innovations in Generative AI