TLDR:
Key points:
- Development of solutions based on generative AI foundation models
- Transformation and opportunities for more complex uses of LLMs
From generative AI 1.5 to 2.0, the article discusses the shift from RAG to agent systems in AI development. The foundation models have evolved to be more accurate and capable of processing a large amount of information. Techniques like prompt engineering and retrieval augmented generation have improved model performance. The future of AI involves building agent-based systems that use multi-modal models and reasoning engines to tackle complex tasks. While these advancements offer great potential, optimization for costs and performance remains a key challenge.