Downloaded 170 times
More Related Content
Similar to Generative AI and ChatGPT - Scope of AI and advance Generative AI
Generative AI and ChatGPT - Scope of AI and advance Generative AI
- 1. Kumaresan. K, Assistant Professor& HOD, Department of Computer Science, Sri. C.Achuthamenon Government College, Thrissur Generative AI & ChatGPT
- 2. Artificial Intelligence Artificial Intelligence (AI) is a branch of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence. These include learning, reasoning, problem-solving, understanding natural language, speech recognition, visual perception, etc. AI systems are designed to mimic human cognitive functions, but they often operate at speeds and capacities far beyond what humans. Elements of AI
- 3.
- 4. A branchof artificial intelligence, concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data. Field of study that gives computers the ability to learn without being explicitly programmed.” Arthur Samuel
- 5.
- 7. Deep Learningis a subset of artificial intelligence (AI) and machine learning (ML) that focuses on training artificial neural networks to learn and make decisions from data. It is a technique inspired by the structure and functioning of the human brain Neural Networks: At the core of deep learning are artificial neural networks, which are composed of interconnected nodes (or "neurons") organized in layers. These networks are capable of learning complex patterns in data.
- 11. Supervised learning Prediction Classification (discrete labels), Regression (real values) Unsupervised learning Clustering Probability distribution estimation Finding association (in features) Dimension reduction Semi-supervised learning Reinforcement learning Decision making (robot, chess machine)
- 13. Generative AIenables users to quickly generate new content based on a variety of inputs. Inputs and outputs to these models can include text, images, sounds, animation, 3D models, or other types of data. These models learn to understand and replicate patterns in the data they are learned/trained on/. They can learn to generate data points by capturing the underlying statistical properties of a dataset. It include images, text, audio, or even more complex types of data.
- 15. Contains Twoimportant models - Generator and Discriminator Generator: This is a neural network that takes random noise as input and transforms it into data that resembles the target data. For example, in image generation, the generator might produce an image. Discriminator: This is another neural network that tries to distinguish between real data from the training set and fake data produced by the generator.
- 16. Text Generation: Content Generation:Generative models like GPT (Generative Pre-trained Transformer) can generate human-like text for a variety of purposes, including articles, stories, poetry, and more. Language Translation: Models like Transformer-based models have been used for machine translation tasks, making it possible to automatically translate text between different languages. Image Generation and Manipulation: Image Synthesis: Generative Adversarial Networks (GANs) can generate high- quality images, artwork, and even realistic faces. Style Transfer: GANs and other generative models can transfer the style of one image to another, creating visually striking results. Super-Resolution: Generative models can enhance the resolution of images, making them sharper and clearer. Audio and Music Generation/Music Composition: AI models can generate music in various styles composing original pieces of music.
- 17. Voice Synthesis: Text-to-speech(TTS) models can convert text into natural- sounding speech. Video Generation: Video Synthesis: GANs and other models can generate realistic video sequences, including deepfake videos and video game graphics. Data Augmentation: Generative models can create synthetic data to augment training datasets, improving the performance of machine learning models. Drug Discovery: Generative AI is used in drug discovery to generate molecular structures and predict potential drug candidates. Anomaly Detection: Natural Language Processing (NLP):
- 18. ChatGPT: An AIlanguage model developed by OpenAI that can answer questions and generate human-like responses from text prompts. DALL-E 2: Another AI model by OpenAI that can create images Google Bard: Google’s generative AI chatbot and rival to ChatGPT. Itcan answer questions and generate text from prompts. Midjourney: AI model interprets text prompts to produce images and artwork, GitHub Copilot: An AI-powered coding tool that suggests code completions within the Visual Studio, Neovim and JetBrains development environments.
- 20. Text-to-text GenerativeAI - is an AI that Generates text based on text input. Example : ChatGPT. Text generation uses machine learning, existing data and previous user input in generating responses. Text Generative AI can be used to: Understanding Text Create content Debug code Education Research Translation Virtual Assistant
- 21. ChatGPT isa state-of-the-art language model developed by OpenAI. It's based on the GPT (Generative Pre-trained Transformer) architecture OpenAI, a leading artificial intelligence research organization. ChatGPT has been trained on a vast amount of internet text and is capable of generating human-like text based on the prompts it receives. ChatGPT is designed to perform a variety of tasks, including answering questions, generating written content, providing explanations, assisting with programming, creating conversational agents etc Available versions in chatgpt1,2,3,3.5 and 4 (latest in 2023-paid) Text Generative AI can be used to: Understanding Text Create content Debug code Education Research Translation Virtual Assistant
- 23. ChatGPT-4 isan AI chatbot developed by OpenAI and launched in April 2023. It is designed to engage in conversations, answer questions, and help with various tasks. ChatGPT-4 is only available for users with OpenAI who have a ChatGPT Plus subscription. Capabilities : Chat-GPT 4 is better at providing accurate information. It can manage more information at once and produce better results. You can provide the information in text or images. Chat-GPT 4 is good at doing difficult tasks. It can help you with big and complex problem statements effectively.
- 25. Create APIKeyGenerate a unique access code to enable communication and authentication with the API. Install OpenAI libraryDownload and set up the necessary software package for OpenAI integration. Install other necessary librariesThis step involves installing additional essential libraries required for the intended purpose or functionality. Set your API KeyEnter your unique API Key to authenticate and access the API’s functionalities and resources. Define a function that can be used to get a response from ChatGPT:Create a function to retrieve a response from ChatGPT, enabling seamless interaction with the model. Query the APIRetrieve data from the API by sending a request and receiving a response.
- 27. Avoid complexinputs Don’t rely on the text generated by ChatGPT Take a look at repeated outputs Outlines and title generation are better Capabilities :