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DALL·E by OpenAI generates realistic images and artwork based on text prompts. It can produce images of a specified size, modify pre-existing images and generate variations of user-provided images.
OpenAI’s Embeddings are numerical representations of linguistic units like words and phrases that capture the semantic meaning and relationships between them.
Whisper is a general-purpose speech recognition OpenAI model that can perform language identification, speech translation and multilingual speech recognition.
A set of OpenAI models that can solve complex problems with high accuracy, thanks to its advanced reasoning capabilities and broader general knowledge.
The newest extensive language model from Google, stands out in performing intricate reasoning assignments, such as code interpretation, mathematical solutions, categorization, query responses, and translation with proficiency in multiple languages. This model highlights Google’s commitment to responsible AI, surpassing previous capabilities in natural language generation.
A set of OpenAI models that can solve complex problems with high accuracy, thanks to its advanced reasoning capabilities and broader general knowledge.
Moderation models are machine learning OpenAI models designed to assist in content moderation tasks, such as identifying and removing inappropriate or harmful content from online platforms.
Google’s Bard, powered by LaMDA, is a text-to-text generative AI chatbot designed to generate human-like responses to natural language prompts, making it capable of engaging in conversations with humans.
LLaMA (Large Language Model Meta AI) is a foundational large language model designed to generate text, have conversations, summarize written material, solve math theorems or predict protein structures.
A set of OpenAI models, including the highly capable and cost-effective Gpt-3.5-turbo, that improve on GPT-3 and can generate text or code.
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Deep learning frameworks are software libraries or tools that provide an interface for developing and implementing deep learning models.
Modules or toolkits refer to pre-built packages or sets of tools that can be used to enhance and simplify the process of building artificial intelligence applications.
Libraries are pre-written sets of code that provide specific functionalities and can be used to enhance the capabilities of AI development projects.
Frontend refers to the user-facing part of an AI application, including the design, layout, and UI components that users interact with.
Backend refers to the server-side of an AI application, handling data processing, storage, and business logic.
Python frameworks provide a foundation for building AI applications by offering predefined structures, libraries, and tools for efficient project development and implementation.
Cloud providers are companies that offer remote servers, storage, and other computing resources over the internet, allowing AI development projects to be deployed and scaled easily.
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