ChatGPT Important terminologies for Beginners (2024 Oct)

Explore classification by pairing prompts to company examples like Apple as technology, Facebook as social media, and FedEx as delivery, then test playground’s settings, including temperature and stop sequences.

Extract keywords from large text blocks using keyword extraction techniques, with practical examples such as 20th century and American ceramic artist. Apply use cases for your company or client.

Learn tweet sentiment classification, identifying language and sentiment types from positive to neutral, using a tweet classifier and language model insights.

Illustrates an advanced tweet classifier that automatically detects sentiments, using examples like 'I can't stand homework' and 'I can't wait for Halloween,' plus keyword extraction and language detection.

Explore the conversation questions and answers category in the ChatGPT API through practical examples, showing how questions receive answers or unknown based on the knowledge base.

Explore language models and statistical models in artificial intelligence, and see how a friend chat bot emulates conversation by replying as if chatting with a friend.

Explore factual answering in chatbots: see how a language model answers with a question mark when knowledge is missing, and provides simple definitions when information exists.

Explore how an intelligent chatbot exhibits helpful, creative, clever, and friendly traits while handling tasks like subscription cancellations, and contrast it with a sarcastic chatbot.

Explore how generations generate answers to prompts, including grammar correction and simple-language summaries for a second grader. See text-to-command use and English-to-language translations with clear examples.

Transform meeting notes into concise minutes by converting shorthand into a firsthand account, distinguishing who reports statements like profits up 50%.

Demonstrates how a ChatGPT recipe creator converts prompts and ingredients into step-by-step cooking instructions, from Fritos and chili to milk tea and bake times.

Explore third person representation by transforming first-person prompts into third-person text, adjusting gender, with Ada Lovelace as the example.

Learn how text to direction converts natural language into turn-by-turn directions in Google Maps, using prompts to generate step-by-step routes and restaurant reviews with example responses.

Explore virtual reality fitness idea generation and essay outline creation, including brainstorming prompts that combine virtual reality and fitness and outlines with introductions to topics like Nikola Tesla.

Learn to convert long paragraphs into concise summaries using prompts, product descriptions, and tldr techniques to save time for busy readers.

Explore parsing unstructured data to extract fruits, colors, and flavors and produce pipe-separated output; convert movie names into emojis, including Hindi titles like Kabhi Khushi Kabhie Gham.

Learn how to extract contact information like name and mailing address from text, generate color codes using prompts for CSS, build analogies, and create micro horror stories.

Generate case study notes and interview questions across any topic, from ancient Rome to programming languages, using generation to deliver five key points or eight questions.