Evolution of GenAI Workflows
Over the past two years, large language models (LLMs) have reshaped the landscape of AI. From simple prompt-based interactions to complex applications across industries, LLMs have evolved rapidly, fueled by breakthroughs in architecture, training techniques, and fine-tuning strategies. As their capabilities evolved, the shift from ChatGPT to today’s agentic systems as of April 2025 marks a natural progression, where the addition of reasoning, planning, and action-taking capabilities represented a major technological leap.
This chapter explores the foundations of LLMs, how they’re built and consumed, and the differences between pre-trained and fine-tuned models. Most importantly, it sets the stage for the next leap forward: the emergence of AI agents.
In this chapter, we will cover the following topics:
- Understanding foundation models and the rise of LLMs
- Latest significant breakthroughs
- Road to AI agents ...
