Google offers the following GenAI models:
Google Vertex AI is a managed environment for training and deploying machine learning models. It offers various tools and features to streamline the ML lifecycle, making it easier for data scientists and engineers to develop and deploy models efficiently. Think of Vertex AI as an Integrated Development Environment (IDE) for machine learning projects.
Google AI Platform is a suite of cloud services that provide a comprehensive platform for developing, training, and deploying machine learning (ML) models. It offers a range of tools and features that cater to various ML needs, from data preparation to model optimization and deployment. Essentially, you experiment with Vertex AI, to develop an ML workflow that you can then manage with the Google AI Platform.
Google AutoML is a cloud-based machine learning (ML) platform that makes it easy to build and deploy custom ML models without requiring extensive ML expertise. It provides pre-built ML pipelines for various common ML tasks, such as natural language processing, image classification, object detection, and time series forecasting. Using AutoML allows you to use ready made ML components, rather than developing your ML models and workflows from scratch.
Google Document AI is a cloud-based platform that uses machine learning (ML) to extract information and insights from unstructured and semi-structured documents, such as PDFs, images, and emails. It provides pre-built models and APIs that enable developers to automate document processing tasks and gain valuable insights from their content.
Google Recommendations AI is a cloud-based platform that provides personalized recommendations for a variety of use cases, such as e-commerce, media, and travel. It leverages machine learning (ML) to analyze user behavior, preferences, and contextual factors to generate highly relevant and engaging recommendations.
Google Speech-to-Text is a cloud-based speech recognition service that converts audio recordings into text. It leverages advanced machine learning (ML) algorithms to accurately transcribe spoken words into written text, supporting multiple languages and dialects.
Google Text-to-Speech is a cloud-based service that converts text into natural-sounding speech. It leverages advanced machine learning (ML) techniques to synthesize human-like voices in a variety of languages and styles.
Google Cloud Translation is a cloud-based machine translation service that enables real-time translation of text and documents between over 100 languages. It leverages advanced machine learning (ML) models to provide accurate and fluent translations, even for complex or technical content.
Google Cloud Vision is a cloud-based computer vision service that enables developers to analyze and interpret images and videos using machine learning (ML) models. It provides a wide range of features for image processing, object detection, facial analysis, and text recognition.
Google Cloud Dialogflow is a cloud-based conversational AI platform that enables developers to build and deploy natural language understanding (NLU) and natural language processing (NLP) applications. It provides pre-built agents and tools that make it easy to create chatbots, virtual assistants, and other conversational interfaces.
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