<ul><li>Generative AI is a subset of artificial intelligence that can produce original content like text, audio, images, video, or software code as a response to a user’s request or prompt.</li><li>To create a foundation model that can support multiple gen AI applications, generative AI involves three phases - training, tuning, and retuning.</li><li>Various methods can be used for tuning the generative AI like fine-tuning or reinforcement learning with human feedback (RLHF).</li><li>Generative AI models rely on various large pre-trained machine learning models like foundation models (FMs) and large language models (LLMs) that are trained to develop deep patterns and relationships in data.</li><li>Generative AI produces various types of content like text, images, video, audio, software code, and design and art.</li><li>Generative AI offers several benefits like dynamic personalization, improved decision-making, constant availability, etc.</li><li>Generative AI also has some limitations like security concerns, cost, limited creativity, etc.</li><li>It possesses a black box problem, and enhancing interpretability and transparency is necessary to gain trust and adoption.</li></ul>

What is GenAI?

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