Both LLMs and GenAI can be used to generate summaries of long-form content. LLMs are good at assessing context and key points, while GenAI can create condensed versions of text that capture the essence of the original material.

LLMs are trained on large amounts of data, often by scraping content from various sources..

GenAI can be used to create chatbots with personality and creativity. GenAI focuses on the relationships between data, and can create content from scratch without needing anything to base it on.

Generative AI encompasses a broad spectrum of AI technologies dedicated to producing new content across diverse formats, including text, images, and music. Leveraging techniques such as deep learning and probabilistic modeling, Generative AI services and solutions generate varied and lifelike outputs.

Large Language Models (LLMs) are advanced AI systems trained on extensive datasets to comprehend and produce human-like text. Notable examples include OpenAI’s GPT series, renowned for their proficiency in tasks like language translation, summarization, and content generation.

Generative AI Services: A generative AI system like DeepMind’s WaveNet can create realistic human-like speech, enabling applications such as voice assistants and interactive storytelling.

Large Language Models: OpenAI’s GPT-3 is a prime example of an LLM capable of generating coherent and contextually relevant text across various tasks, including text completion, question answering, and text summarization.