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ChatGPT Deck.pptx

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ChatGPT is a natural language processing model created by OpenAI that can generate human-like responses to text-based conversations. It uses deep learning and was pre-trained on vast amounts of text to understand language. Performance is evaluated using metrics like perplexity, accuracy, fluency and human evaluation. There are ethical concerns around copyright, personal data, bias and how the training data was obtained. OpenAI has introduced a paid ChatGPT Plus subscription with additional features while maintaining the free version.

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ChatGPT
What is ChatGPT? ChatGPT (Generative Pre-trained Transformer) is a natural language processing (NLP) model that uses deep learning to generate human-like responses to text-based conversations. It is a large-scale neural network architecture that was pre-trained on vast amounts of textual data to learn how to understand and generate language.
OpenAI OpenAI is an American artificial intelligence (AI) research laboratory consisting of the non-profit OpenAI Incorporated (OpenAI Inc.) and its for-profit subsidiary corporation OpenAI Limited Partnership (OpenAI LP). OpenAI systems run on the fifth most powerful supercomputer in the world Samuel H. Altman Founder
Ilya Sutskever Greg Brockman Andrej Karpathy Elon Musk Co-founders of ChatGPT There are several legal and ethical issues surrounding the use of ChatGPT and other large language models. Few of them include :
Language Model Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions (BERT) to over a trillion parameters (MiCS), and whose size makes single-GPU training impractical GPT-3 Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model released in 2020 that uses deep learning to produce human-like text. The architecture is a decoder-only transformer network with a 2048-token-long context and then-unprecedented size of 175 billion parameters, requiring 800GB to store. The model was trained using generative pre-training; it is trained to predict what the next token is based on previous tokens
Natural Language Processing (NLP) Natural language processing (NLP) is an interdisciplinary subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them Sentence Segmentation Word Tokenization Stemming Lemmatization Stop Word Analysis Dependency Parsing Part-of-Speech Tagging STEP 1 STEP 2 STEP 3 STEP 4 STEP 5 STEP 6 STEP 7 Natural Language Processing Pipeline
Automatic Speech Recognition (Speech to text) Listening Natural Language Understand Comprehending Text to Speech Dialog Management and Natural Language Generation Forming Response VOICE TEXT VOICE TEXT Machine Learning and Deep Neural Networks Conversational AI The term conversational AI (artificial intelligence) refers to technologies, like virtual assistants or chatbots, that can “talk” to people (e.g., answer questions). Conversational AI applications are often used in customer service.
Training Data Training data is the data you use to train an algorithm or machine learning model to predict the outcome you design your model to predict. If you are using supervised learning or some hybrid that includes that approach, your data will be enriched with data labeling or annotation.
Ask complex questions Get better answers Get creative inspiration Welcome to the new Bing What is ChatGPT Bing and how does it differ from other chatbot services? How does ChatGPT Bing use ML to improve its responses over time? What industries and use cases is ChatGPT Bing best suited for? Bing is a web search engine developed and operated by Microsoft, launched in 2009 . The revamped search engine is significantly more powerful than the previous version of Bing, thanks to a new interface, ChatGPT AI tech, and some other changes. This could be the beginning of a new era of searching the web, one in which you tell your search engine what you want in a far more natural and intuitive way.
Performance Evaluation of ChatGPT Perplexity is a measure of how well ChatGPT can predict the next word in a sequence of text. It measures the level of uncertainty in the model's predictions, with lower perplexity scores indicating better performance. Accuracy Perplexity Fluency Human Evaluation Accuracy measures how often ChatGPT provides correct responses to user inputs. This metric is often used in task-oriented chatbots where the goal is to provide accurate information or complete a specific task. Fluency measures how well ChatGPT can generate natural- sounding responses that are grammatically correct and coherent. This metric is important for open-domain chatbots that are designed to generate human-like responses in a conversational context. Human evaluation involves having human evaluators assess the quality of ChatGPT's responses. This can be done through user surveys or by having evaluators rate the responses based on criteria such as relevance, coherence, and overall quality. Performance evaluation of ChatGPT is typically done using metrics such as perplexity, accuracy, fluency, and human evaluation.
AI Chat Bots An AI chatbot is a computer program that uses artificial intelligence techniques such as natural language processing (NLP), machine learning, and cognitive computing to simulate human conversation or communication. The purpose of an AI chatbot is to provide automated assistance or support to users through a messaging interface, such as a chat window, text message, or voice chat. AI chatbots can be used for a variety of purposes, such as • Customer service • Technical support • Information retrieval • Personal assistance • Entertainment
Ethical Concerns of ChatGPT There are several legal and ethical issues surrounding the use of ChatGPT and other large language models. Few of them include : • The model may generate text that is similar or identical to existing copyrighted content, potentially causing a copyright infringement issue. • Model may generate personal information or sensitive data that could be used to identify or harm individuals. • Could lead to the model perpetuating harmful stereotypes or discrimination • GPT-3 and other similar models have been trained on a massive amount of data, which may have come from questionable sources, such as scraping of websites or other data collection methods which could have legal and ethical issues.
Future of ChatGPT While chatbots certainly exist, ChatGPT is one of the first to produce such in-depth answers as clearly and human-like as it does. This opens up a whole new opportunity for the business world. Streamlining operations 1 Streamlining operations 2 • Data entry • Appointment scheduling • Reduce the risk of errors • Improve the accuracy of data • Ensuring businesses' efficiency and effectiveness • Saving costs • Improving productivity • Strengthening the bottom line Because ChatGPT is programmed to analyze immense amounts of data from its neural network and generate insights and suggestions based on that data, businesses can make informed, cutting-edge, data-driven decisions. More information on consumers can also spark creativity in business professionals, allowing them to stay ahead of the curve with new ideas that their customers will love.
Free Plan ChatGPT Plus • Available when demand is low • Standard response speed • Regular model updates • Available when demand is high • Faster response speed • Priority access to new features Free/Paid versions of ChatGPT OpenAI has recently rolled out its new subscription plan for the AI chatbot - ChatGPT Plus. The Plus subscription plan of ChatGPT gets additional capabilities and features. Notably, the company confirmed that it will not stop the free to use ChatGPT services and the new Plus plan comes with more features for the users.
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ChatGPT Deck.pptx

  • 2. What is ChatGPT? ChatGPT (Generative Pre-trained Transformer) is a natural language processing (NLP) model that uses deep learning to generate human-like responses to text-based conversations. It is a large-scale neural network architecture that was pre-trained on vast amounts of textual data to learn how to understand and generate language.
  • 3. OpenAI OpenAI is an American artificial intelligence (AI) research laboratory consisting of the non-profit OpenAI Incorporated (OpenAI Inc.) and its for-profit subsidiary corporation OpenAI Limited Partnership (OpenAI LP). OpenAI systems run on the fifth most powerful supercomputer in the world Samuel H. Altman Founder
  • 4. Ilya Sutskever Greg Brockman Andrej Karpathy Elon Musk Co-founders of ChatGPT There are several legal and ethical issues surrounding the use of ChatGPT and other large language models. Few of them include :
  • 5. Language Model Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions (BERT) to over a trillion parameters (MiCS), and whose size makes single-GPU training impractical GPT-3 Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model released in 2020 that uses deep learning to produce human-like text. The architecture is a decoder-only transformer network with a 2048-token-long context and then-unprecedented size of 175 billion parameters, requiring 800GB to store. The model was trained using generative pre-training; it is trained to predict what the next token is based on previous tokens
  • 6. Natural Language Processing (NLP) Natural language processing (NLP) is an interdisciplinary subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them Sentence Segmentation Word Tokenization Stemming Lemmatization Stop Word Analysis Dependency Parsing Part-of-Speech Tagging STEP 1 STEP 2 STEP 3 STEP 4 STEP 5 STEP 6 STEP 7 Natural Language Processing Pipeline
  • 7. Automatic Speech Recognition (Speech to text) Listening Natural Language Understand Comprehending Text to Speech Dialog Management and Natural Language Generation Forming Response VOICE TEXT VOICE TEXT Machine Learning and Deep Neural Networks Conversational AI The term conversational AI (artificial intelligence) refers to technologies, like virtual assistants or chatbots, that can “talk” to people (e.g., answer questions). Conversational AI applications are often used in customer service.
  • 8. Training Data Training data is the data you use to train an algorithm or machine learning model to predict the outcome you design your model to predict. If you are using supervised learning or some hybrid that includes that approach, your data will be enriched with data labeling or annotation.
  • 9. Ask complex questions Get better answers Get creative inspiration Welcome to the new Bing What is ChatGPT Bing and how does it differ from other chatbot services? How does ChatGPT Bing use ML to improve its responses over time? What industries and use cases is ChatGPT Bing best suited for? Bing is a web search engine developed and operated by Microsoft, launched in 2009 . The revamped search engine is significantly more powerful than the previous version of Bing, thanks to a new interface, ChatGPT AI tech, and some other changes. This could be the beginning of a new era of searching the web, one in which you tell your search engine what you want in a far more natural and intuitive way.
  • 10. Performance Evaluation of ChatGPT Perplexity is a measure of how well ChatGPT can predict the next word in a sequence of text. It measures the level of uncertainty in the model's predictions, with lower perplexity scores indicating better performance. Accuracy Perplexity Fluency Human Evaluation Accuracy measures how often ChatGPT provides correct responses to user inputs. This metric is often used in task-oriented chatbots where the goal is to provide accurate information or complete a specific task. Fluency measures how well ChatGPT can generate natural- sounding responses that are grammatically correct and coherent. This metric is important for open-domain chatbots that are designed to generate human-like responses in a conversational context. Human evaluation involves having human evaluators assess the quality of ChatGPT's responses. This can be done through user surveys or by having evaluators rate the responses based on criteria such as relevance, coherence, and overall quality. Performance evaluation of ChatGPT is typically done using metrics such as perplexity, accuracy, fluency, and human evaluation.
  • 11. AI Chat Bots An AI chatbot is a computer program that uses artificial intelligence techniques such as natural language processing (NLP), machine learning, and cognitive computing to simulate human conversation or communication. The purpose of an AI chatbot is to provide automated assistance or support to users through a messaging interface, such as a chat window, text message, or voice chat. AI chatbots can be used for a variety of purposes, such as • Customer service • Technical support • Information retrieval • Personal assistance • Entertainment
  • 12. Ethical Concerns of ChatGPT There are several legal and ethical issues surrounding the use of ChatGPT and other large language models. Few of them include : • The model may generate text that is similar or identical to existing copyrighted content, potentially causing a copyright infringement issue. • Model may generate personal information or sensitive data that could be used to identify or harm individuals. • Could lead to the model perpetuating harmful stereotypes or discrimination • GPT-3 and other similar models have been trained on a massive amount of data, which may have come from questionable sources, such as scraping of websites or other data collection methods which could have legal and ethical issues.
  • 13. Future of ChatGPT While chatbots certainly exist, ChatGPT is one of the first to produce such in-depth answers as clearly and human-like as it does. This opens up a whole new opportunity for the business world. Streamlining operations 1 Streamlining operations 2 • Data entry • Appointment scheduling • Reduce the risk of errors • Improve the accuracy of data • Ensuring businesses' efficiency and effectiveness • Saving costs • Improving productivity • Strengthening the bottom line Because ChatGPT is programmed to analyze immense amounts of data from its neural network and generate insights and suggestions based on that data, businesses can make informed, cutting-edge, data-driven decisions. More information on consumers can also spark creativity in business professionals, allowing them to stay ahead of the curve with new ideas that their customers will love.
  • 14. Free Plan ChatGPT Plus • Available when demand is low • Standard response speed • Regular model updates • Available when demand is high • Faster response speed • Priority access to new features Free/Paid versions of ChatGPT OpenAI has recently rolled out its new subscription plan for the AI chatbot - ChatGPT Plus. The Plus subscription plan of ChatGPT gets additional capabilities and features. Notably, the company confirmed that it will not stop the free to use ChatGPT services and the new Plus plan comes with more features for the users.
  • 16. Instructions for use What you are allowed to do : Modify this template Use it for personal or commercial projects You must credit Slidechef in order to use this template What you are not allowed to do : Offer Slidechef templates for download Sublicense, sell or rent any Slidechef content Distribute Slidechef content unless it has been authorized Include Slidechef content in an online or offline file Acquire the copyright of Slidechef content