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Biomni: A General-Purpose Biomedical AI Agent - GitHub Biomni-R0 is our first reasoning model for biology, built on Qwen-32B with reinforcement learning from agent interaction data It's designed to excel at tool use, multi-step reasoning, and complex biological problem-solving through iterative self-correction
Tutorials and Examples | snap-stanford Biomni | DeepWiki This section provides practical, hands-on examples demonstrating how to use Biomni for biomedical research tasks The tutorials range from basic agent initialization to complex multi-step research workflows, covering database queries, genomics analysis, bioimaging, and custom tool integration
biomni · PyPI Biomni-R0 is our first reasoning model for biology, built on Qwen-32B with reinforcement learning from agent interaction data It's designed to excel at tool use, multi-step reasoning, and complex biological problem-solving through iterative self-correction
Biomni: A General-Purpose Biomedical AI Agent - bioRxiv Across these diverse scenarios, Biomni consistently outperformed baseline models (Base LLM, ReAct+Code) and specialized environments (Biomni ReAct), highlighting its general-purpose biomedical capabilities and ability to autonomously adapt to new and complex biomedical tasks
Biomni - producthunt. programnotes. cn Biomni is a general-purpose biomedical AI agent designed to autonomously execute a wide range of research tasks across diverse biomedical subfields
Biomni, an AI Agent for Multidisciplinary Biology Research At inference, given a query, Biomni prompts Claude 4 Sonnet to determine which tools, packages, and databases are needed Then it prompts the model to build a step-by-step plan to produce a response
GitHub - zznature Biomni By integrating cutting-edge large language model (LLM) reasoning with retrieval-augmented planning and code-based execution, Biomni helps scientists dramatically enhance research productivity and generate testable hypotheses
User Guide | snap-stanford Biomni | DeepWiki This guide provides comprehensive documentation for using Biomni's biomedical AI agent capabilities, from basic initialization to advanced tool integration and resource management
Biomni: A General-Purpose Biomedical AI Agent by Kexin Huang Biomni enables scientists to run workflows such as gene prioritization, drug repurposing, rare disease diagnosis, and microbiome analysis without relying on predefined templates, offering a more flexible and scalable approach to biomedical research