Presented by Akash Kamalesh on 19th Mar 2023
Topic :- Generative AI – An overview of GPT / ChatGPT algorithm and its applications
Presenter – Akash Kamalesh, AI Researcher, CellStrat AI Lab
Generative AI has taken the world by storm. Text and Image Generation with algorithms like ChatGPT, Stable Diffusion etc are breaking out and disrupting industries all over.
Attend this Webinar to learn the details of GPT / ChatGPT algorithm, a neural network that generates human-like text. GPT-3, or the third-generation Generative Pre-trained Transformer, is a neural network machine learning model trained using internet data to generate any type of text. Developed by OpenAI, it requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text.
The architecture is a decoder-only transformer network with a 2048-token-long context and then-unprecedented size of 175 billion parameters. The model was trained using generative pre-training; it is trained to predict what the next token is based on previous tokens. The model demonstrated strong zero-shot and few-shot learning on many tasks.
GPT3.5 has incredibly large number of language uses such as text generation, language understanding, information mining, Question-Answer, language translation, code generation, content generation for literature or marketing, text summarization, entity extraction, sentiment analysis, text classification and so on..
ChatGPT, launched in Nov 2022, is a front-end for GPT3.5 that interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
ChatGPT was fine-tuned (an approach to transfer learning) over an improved version of OpenAI's GPT-3 known as "GPT 3.5". The fine-tuning process leveraged both supervised learning as well as reinforcement learning in a process called reinforcement learning from human feedback (RLHF). RLHF helped achieve more human-like answers, filter out biases, negative text, as well as prevent human engineering to manipulate Chatbot etc.
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