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Explore the Gemini API
The Gemini API gives you access to Gemini models created by Google DeepMind. Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, code, and audio.How to get started
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AI agents
You can now deploy AI agents to browse the Internet, automate tasks, and execute complex workflows on your behalf.
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perplexity.ai
Perplexity is a free AI-powered answer engine that provides accurate, trusted, and real-time answers to any question.
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AI can help
Knowing how to state a problem will be the biggest task at work
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What is Web3?
Web3 is an umbrella term for technologies like blockchain that decentralize data ownership and control on the internet. Most internet applications are controlled by centralized entities that determine how they save and use end-user data. Instead of centralized management structures, Web3 (also called Web 3.0, decentralized web, or semantic web) technologies allow for community-driven projects.…
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Google Colab
Colab, or “Colaboratory”, allows you to write and execute Python in your browser, with Whether you’re a student, a data scientist or an AI researcher, Colab can make your work easier.
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SQLAlchemy
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
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Google AI Studio
Google AI Studio is the fastest way to start building with Gemini, our next generation family of multimodal generative AI models.
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Generative AI tools for workplace tasks
Conversational AI tools Conversational AI includes general-purpose tools that can simulate a human conversation, as well as provide answers to questions on a wide variety of subjects. Workers might use conversational AI tools to help with work tasks, such as brainstorming or finding answers to low-stakes questions. Example tools include: Productivity and writing assistants AI…
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Approaches to training ML programs
Machine learning is a subset of AI focused on developing computer programs that can analyze data to make decisions or predictions. AI designers often use ML in their AI programs because it doesn’t have the limitations of rule-based techniques. There are three common approaches to training ML programs: Supervised learning In this approach, the ML…