Summary
This blog post clarifies the distinction between large language models (LLMs) and generative AI. It explains that while generative AI encompasses all AI that can create content, LLMs specifically handle text generation, utilizing learned patterns from extensive datasets. The author discusses the functionality of LLMs, their capability for multi-step reasoning, and how they integrate into the broader generative AI landscape, including multimodal applications. The post also mentions real-world applications and emphasizes the transformative role of AI in workflows, particularly with tools like Zapier.