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Research Agent is a unified AI orchestration platform that combines intelligent research with automated cloud experimentation. Rather than treating literature review and machine learning execution as separate workflows, it integrates both into a single system capable of understanding a user’s objective, gathering relevant knowledge, executing experiments on cloud GPUs, and generating a comprehensive final report The platform consists of two integrated agents. The Deep Research Agent performs recursive web research using LLM-generated search strategies, retrieves information from multiple online sources, extracts key insights, identifies relevant images, and produces detailed citation-backed reports. Through iterative follow-up queries, it continually refines its search to provide deeper and comprehensive results. The Cloud Experiment Agent converts natural language requirements into executable machine learning workloads. It automatically generates training scripts, inspects datasets, validates generated code through a multi-stage quality assurance pipeline, provisions AMD GPU cloud instances, executes experiments remotely, and downloads outputs including trained models, metrics, plots, and logs. When both workflows are selected, the system collects user requirements once and executes research and cloud experimentation in parallel. It then synthesizes the research findings and experimental results into a unified report, allowing users to compare theoretical knowledge with practical implementation The platform emphasizes reliability through deterministic infrastructure management, automated code validation, secure cloud execution, dataset-aware code generation, and reproducible experiment workflows. By combining advanced LLM reasoning with scalable GPU infrastructure, Research Agent significantly reduces the time required to move from an initial research question to validated experimental results, making it a powerful tool for researchers, students, and AI developers

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