Generative AI refers to a class of AI technologies that is capable of generating various forms of content, including but not limited to text, images, audio, and video. These AI systems can generate new content, based on their training data and input parameters, which usually include text prompts but can also involve other forms of input such as images.
learning the underlying patterns, structures, and distributions of input data enables a procedure within the model allowing it to generate new data in a similar manner
“GPT : Standing for Generative Pre-trained Transformer , it is a line of models specializing in text generation—namely, predicting which words should come next. Among them are GPT-2, GPT-3, and GPT-4, making a huge leap in generating coherent and contextually relevant text ”
Domain-specific LLMs :
LLMs are often trained on a large set of open, generally available, web data, they may not perform very well in domain-specific environments.
“models were pre-trained on highly specialized, domain knowledge.
LLM powered agents:
“ Our example is a travel website that has a Flight Booking Assistant chatbot that is a conversational interface built with an LLM.”
The AI assistant understands that in order to proceed with this request, it needs a few more pieces of information to look up available flights, such as departure/arrival city, dates of travel, and so on.
“agents are an advanced application of LLMs (such as this travel booking AI assistant) and represent an emerging field that combines aspects of various LLM types with additional AI techniques such as reinforcement learning, planning, and tool use.
“Intellectual property : The process of developing comparable content to existing ones brings forth issues with copyright and intellectual property rights. The legal complexity attached to the very originality of the creation and correct ownership can be most perplexing.”
Data Centric 