General Terms:
• Generative AI: A type of artificial intelligence that focuses on creating new content, such as text, images, code, or music.
• Prompt Engineering: The art of crafting prompts that guide and influence the output of generative AI models.
• Natural Language Processing (NLP): A branch of AI that deals with the interaction between computers and human (natural) languages.
• Machine Learning (ML): A subfield of AI where algorithms learn from data to improve their performance on specific tasks.
• Deep Learning: A type of machine learning based on artificial neural networks that mimic the human brain's structure and learning process.
Terms related to ChatGPT and Bard:
• Large Language Models (LLMs): Generative AI models trained on massive amounts of text data to communicate and generate human-quality text.
• OpenAI: A research laboratory working on safe and beneficial artificial intelligence, which developed ChatGPT.
• Google AI: Google's research division focusing on AI advancements, which developed Bard.
• API (Application Programming Interface): A set of functions or tools that allows developers to use an AI model's capabilities within their own applications.
• OpenAI API: Allows developers to integrate ChatGPT's capabilities into their own software and applications.
• Google AI Research: Platform showcasing projects and tools developed by Google AI, including Bard.
Additional Terms:
• Diffusion Models: A type of generative AI model that iteratively refines noise into a desired image or text output.
• Generative Adversarial Networks (GANs): Two competing neural networks that train each other to improve their ability to generate realistic images or text.
• Prompt: A specific phrase or set of instructions given to a generative AI model to guide its output.
• Style Transfer: Applying the style of one image or piece of text to another.
• Text-to-Image Generation: Creating images based on a textual description.
• Code Generation: Automatically generating code based on natural language instructions.
• Music Generation: Composing music based on textual input or user preferences.
Remember, this is just a starting point. The field of generative AI is constantly evolving, so new terms and concepts are emerging all the time.
• Generative AI: A type of artificial intelligence that focuses on creating new content, such as text, images, code, or music.
• Prompt Engineering: The art of crafting prompts that guide and influence the output of generative AI models.
• Natural Language Processing (NLP): A branch of AI that deals with the interaction between computers and human (natural) languages.
• Machine Learning (ML): A subfield of AI where algorithms learn from data to improve their performance on specific tasks.
• Deep Learning: A type of machine learning based on artificial neural networks that mimic the human brain's structure and learning process.
Terms related to ChatGPT and Bard:
• Large Language Models (LLMs): Generative AI models trained on massive amounts of text data to communicate and generate human-quality text.
• OpenAI: A research laboratory working on safe and beneficial artificial intelligence, which developed ChatGPT.
• Google AI: Google's research division focusing on AI advancements, which developed Bard.
• API (Application Programming Interface): A set of functions or tools that allows developers to use an AI model's capabilities within their own applications.
• OpenAI API: Allows developers to integrate ChatGPT's capabilities into their own software and applications.
• Google AI Research: Platform showcasing projects and tools developed by Google AI, including Bard.
Additional Terms:
• Diffusion Models: A type of generative AI model that iteratively refines noise into a desired image or text output.
• Generative Adversarial Networks (GANs): Two competing neural networks that train each other to improve their ability to generate realistic images or text.
• Prompt: A specific phrase or set of instructions given to a generative AI model to guide its output.
• Style Transfer: Applying the style of one image or piece of text to another.
• Text-to-Image Generation: Creating images based on a textual description.
• Code Generation: Automatically generating code based on natural language instructions.
• Music Generation: Composing music based on textual input or user preferences.
Remember, this is just a starting point. The field of generative AI is constantly evolving, so new terms and concepts are emerging all the time.
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