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Recursos para Desenvolvimento

  • Second Opinion provides AI-driven assistance for coding, debugging, and optimizing software development processes.
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    What is Second Opinion?
    Second Opinion is an innovative AI-powered tool designed to help developers with various aspects of software development. It offers assistance in coding, debugging, and optimizing by leveraging advanced artificial intelligence algorithms. The platform enhances productivity by providing real-time feedback and solutions, making it a valuable resource for both novice and experienced developers. By integrating Second Opinion into their workflow, developers can detect and fix issues more efficiently, thus improving the overall quality of their code. This platform is ideal for anyone looking to streamline their development process and produce high-quality software.
  • An open-source Google Cloud framework offering templates and samples to build conversational AI agents with memory, planning, and API integrations.
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    What is Agent Starter Pack?
    Agent Starter Pack is a developer toolkit that scaffolds intelligent, interactive agents on Google Cloud. It offers templates in Node.js and Python to manage conversation flows, maintain long-term memory, and perform tool and API invocations. Built on Vertex AI and Cloud Functions or Cloud Run, it supports multi-step planning, dynamic routing, observability, and logging. Developers can extend connectors to custom services, build domain-specific assistants, and deploy scalable agents in minutes.
  • A versatile platform for experimenting with Large Language Models.
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    What is LLM Playground?
    LLM Playground serves as a comprehensive tool for researchers and developers interested in Large Language Models (LLMs). Users can experiment with different prompts, evaluate model responses, and deploy applications. The platform supports a range of LLMs and includes features for performance comparison, allowing users to see which model suits their needs best. With its accessible interface, LLM Playground aims to simplify the process of engaging with sophisticated machine learning technologies, making it a valuable resource for both education and experimentation.
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