In order to work well, generative AI models have to be fed a large amount of data: more data, in most cases, than a human could process over the course of a lifetime. For example, the large language model ChatGPT was trained on millions of documents. An image generator might be train...
Generative AI is a subset of AI that focuses on creating algorithms that generate a particular output like text, photos, videos and more. See more.
LLMs would be a subset of generative AI. This large language models is something that we would use for either text classification or doing Q&A – the famous chatbot experience: summarizing documents or generating new documents. LLMs are basically having a couple of different categories in them....
Generative AI comes into play when the output is a complex format such as natural language, text, image, audio, or speech. The goal is to compute an output dependent on given inputs. For instance, when a question is asked (prompting), the model responds based on its training data. Contr...
Ultimately, we want the generative AI model to return outputs that align with what humans want. However, getting humans to review every single output of the model would be impossible. Instead, researchers get humans to rate a subset of the model’s outputs. Then, they use this dataset to ...
What is the difference between LLMs and AI? Artificial intelligence is a broad term that encompasses many technologies that can mimic human-like behavior or capabilities. Large language models are a type of generative AI, the umbrella term for AI models that generate content including text, images...
Data collection and preparation:The system gathers a large dataset relevant to the type of content it aims to generate and processes it to remove errors or inconsistencies Model training:Generative AI models train on the dataset, which involves feeding them with data and allowing them to learn pat...
Generative AI is a kind of artificial intelligence technology that relies on deep learning models trained on large data sets to create new content.
Generative AI solutions make use of AI systems calledlarge language models (LLMs)that employ deep neural networks to process and generate text. They’re trained on massive amounts of data, working to find commonalities between similar data types and information to create and deliver new, coherent...
A small language model (SLM) is agenerative AItechnology similar to a large language model (LLM) but with a significantly reduced size. LLMs -- such as OpenAI'sGPT-3andGPT-4-- are trained and optimized for many purposes, including general-purpose tool use. However, that wide range of ca...