- Google Bard: A large language model from Google AI, trained on a massive dataset of text and code. Bard can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
- Google LaMDA: A language model from Google AI, trained on a massive dataset of text and code. LaMDA can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. LaMDA is different from Bard in that it is trained on a different dataset and has different capabilities.
- Google TensorFlow: An open-source machine learning framework that is used for a wide variety of tasks, including image recognition, natural language processing, and machine translation. TensorFlow is one of the most popular machine learning frameworks, and it is used by a wide range of companies, including Google, Facebook, and Uber.
- Google Document AI: A service that uses machine learning to extract information from documents. Document AI can extract text, tables, and images from documents, and it can also recognize different types of documents, such as invoices and receipts.
- Google Contact Center AI: A service that uses machine learning to automate customer service tasks. Contact Center AI can answer customer questions, resolve customer issues, and provide customer support.
- Google Product Discovery: A service that uses machine learning to recommend products to customers. Product Discovery can recommend products based on a customer’s past purchases, browsing history, and search history.
- Google Cloud AutoML: A suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. The products in the AutoML suite include:
- AutoML Vision: A product that enables developers to train high-accuracy image classification and object detection models.
- AutoML Natural Language: A product that enables developers to train high-accuracy natural language processing models for tasks such as text classification, sentiment analysis, and question answering.
- AutoML Translation: A product that enables developers to train high-quality machine translation models.
- Google Cloud Dataproc: A managed Hadoop and Spark service that makes it easy to process large datasets. Dataproc provides a fully managed Hadoop and Spark cluster, as well as a number of tools and services that make it easy to manage and monitor your clusters.
- Google Cloud Dataflow: A fully managed service for running Apache Beam pipelines. Dataflow provides a number of features that make it easy to build, deploy, and monitor your pipelines, including:
- Automatic retries and restarts
- Scalability and load balancing
- Monitoring and logging
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