What is Google's Generative AI Called and Its Key Features Explained

Google's generative AI is called Bard, a conversational AI model that can generate human-like responses to a wide range of questions and topics.

Bard is a large language model that uses a combination of natural language processing (NLP) and machine learning algorithms to generate text.

It's designed to be a helpful tool for people who want to learn new things or get information on a specific topic.

Bard can generate text on a wide range of topics, from science and history to entertainment and culture.

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Google's Generative AI is a set of differentiating GenAI products aimed at accelerating enterprise adoption of GenAI.

Generative AI on Google Cloud is a powerful tool that allows businesses to leverage GenAI on Google's end-to-end Machine Learning platform, Vertex AI.

This platform enables developers to securely develop and deploy their models in production-ready environments, giving companies access to state-of-the-art models with integrated enterprise security and deployment support.

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Generative App Builder is an application that powers companies with out-of-the-box solutions for search and conversational experiences, requiring no code management or orchestration.

Conversational AI allows users to have human-like interactions that can handle common tasks such as authenticating users, checking order status, and making payments.

Enterprise Search enables businesses to provide their users with generative search experiences, using multi-modal inputs to obtain personalized recommendations and follow up with questions.

This technology can be useful for analysts in financial services companies looking to find key challenges in a certain industry, or for companies to perform knowledge-base queries on their internal document repositories.

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Google Cloud has introduced a set of GenAI products to accelerate enterprise adoption, including Generative App Builder, which allows businesses to use conversational and search GenAI tools with no code.

Generative App Builder provides out-of-the-box solutions for search and conversational experiences, enabling companies to create human-like interactions for tasks like authenticating users, checking order status, and making payments.

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With Conversational AI, users can interact with chatbots that can handle common tasks, and developers have granular control over the generated responses.

Enterprise Search allows businesses to provide generative search experiences, using multi-modal inputs to provide personalized recommendations and follow-up questions.

Duet AI is another generative AI technology from Google, designed to help people work more effectively and efficiently by providing real-time assistance and insights.

Duet AI has already been used to create several helpful features for Google Workspace apps, including suggesting relevant words and phrases in Google Docs, streamlining data management in Google Sheets, and visualizing data in Google Slides.

Here are some specific features of Duet AI:

These features are designed to make it easier for users to create and manage content, and can be particularly useful for tasks like writing, data analysis, and presentation creation.

Bard competes with other language models like ChatGPT and LaMDA.

Bard is a large language model (LLM) chatbot developed by Google AI, trained on vast amounts of text and code, enabling it to produce human-like responses.

It excels in providing detailed and comprehensive information, which is a key difference from other LLMs that are more general and better at generating creative text formats.

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Gemini was created by Google and Alphabet, Google's parent company, and released as the company's most advanced AI model to date.

Google DeepMind also made significant contributions to the development of Gemini.

Google's Gemini model stands out from other AI models like GPT-4 due to its native multimodal characteristic.

Compared to GPT-4, Gemini has a longer context window of one million tokens, while GPT-4 is available in 8k and 32k token contexts.

Gemini easily performs multimodal tasks natively, whereas GPT-4 relies on plugins to perform image analysis and access the web.

GPT-4 excels in language-related tasks, but Gemini has a more product-focused approach, being integrated into Google's ecosystem or having plans to be.

Gemini powers both the chatbot and Android devices, whereas other models like GPT-4 and Meta's Llama are more service-oriented and available for third-party developers.

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Bard competes with ChatGPT and other language models. Bard is a large language model (LLM) chatbot developed by Google AI.

It's been extensively trained on vast amounts of text and code. This enables it to produce human-like responses to a wide range of prompts and questions.

Bard excels in providing detailed and comprehensive information. It can provide factual summaries and even create engaging stories.

Bard is similar to other LLMs, such as ChatGPT and LaMDA.

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Google's generative AI is revolutionizing the way teams work, and its impact is being felt across various industries.

Adore Me, a fashion technology company, has seen a significant boost in productivity thanks to the generative AI features in Docs and Gmail.

The company's Chief Operating Officer, Romain Liot, notes that the ability to quickly create production-worthy copy has been accelerating projects and processes in ways that have even surprised them.

Instacart, a grocery delivery company, is always on the lookout for the latest technological innovations and is excited to test out the new generative AI Workspace experiences.

Their Chief Architect, JJ Zhuang, sees the potential for generative AI to make a significant impact on their teams, and they're eager to discover how it can help them work more efficiently.

Lyft, a ride-sharing company, is also enthusiastic about the new tools and how they can help their teams move faster and be more productive.

Google's generative AI is a set of products designed to accelerate enterprise adoption of generative AI.

Google Cloud has recently announced a set of differentiating GenAI products, including Generative App Builder and GenAI services integrated with Vertex AI.

Generative App Builder allows businesses to use conversational and search GenAI tools with no code, creating a smooth user experience for developers.

It enables human-like interactions that can handle common tasks such as authenticating users, checking order status, and making payments.

Developers have granular control over generated responses, allowing them to edit outputs provided by the model to maximize its value.

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Business logic can be added when building the chatbot through a logic graph that relates states and tasks to each other.

This product can be used by retail companies to help customers find products and place orders, or by the healthcare industry to schedule appointments.

Enterprise Search allows businesses to provide users with generative search experiences, using multi-modal inputs such as prompts, images, and map locations.

It can be useful for analysts in financial services companies looking to find key challenges in a certain industry, or for companies to perform knowledge-base queries on their internal document repositories.

Users with no ML skills can use the out-of-the-box chat and search, while more advanced practitioners can tune the search or build their own search by training and tuning the original models.

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