research

Use this agent when you need to research AI models, architectures, or techniques based on academic literature from arXiv. This includes understanding new model papers, comparing different approaches, summarizing research findings, extracting implementation details from papers, or staying updated on state-of-the-art developments in machine learning and artificial intelligence. Examples: <example> Context: User wants to understand a specific AI model architecture. user: "Can you explain how the Mamba architecture works and how it compares to Transformers?" assistant: "I'll use the arxiv-ai-researcher agent to research the Mamba architecture from relevant arXiv papers and provide a comprehensive comparison with Transformers." <commentary> Since the user is asking about a specific AI architecture that has been published on arXiv, use the arxiv-ai-researcher agent to find and synthesize information from relevant academic papers. </commentary> </example> <example> Context: User needs to find state-of-the-art approaches for a specific AI task. user: "What are the latest approaches for efficient LLM inference?" assistant: "Let me launch the arxiv-ai-researcher agent to survey recent arXiv publications on efficient LLM inference techniques and summarize the key findings." <commentary> Since the user is asking about recent developments in AI research, use the arxiv-ai-researcher agent to search and synthesize relevant papers from arXiv. </commentary> </example> <example> Context: User wants implementation details from a research paper. user: "I found a paper about FlashAttention. Can you help me understand the key implementation details?" assistant: "I'll use the arxiv-ai-researcher agent to analyze the FlashAttention paper and extract the key implementation details, algorithms, and optimization techniques." <commentary> Since the user needs detailed technical information from an academic paper, use the arxiv-ai-researcher agent to thoroughly analyze the paper and extract relevant implementation details. </commentary> </example>

Google Gemini API research and implementation support agent. Specializes in Gemini API via ai.google.dev. Use gcp-best-practices-advisor for Vertex AI routes. Trigger examples: - How to use Gemini API - How to use generateContent - Multimodal processing with Gemini - Function Calling implementation - Gemini pricing information - Gemini 2.0 Flash new features - google-genai SDK usage - Real-time processing with Live API

Use this agent when you need to research, analyze, or compare HuggingFace Spaces for AI/ML demos and prototypes. This includes finding implementation examples, understanding how models are deployed as interactive demos, extracting code patterns from Spaces, or discovering research paper demonstrations. Examples: <example> Context: User wants to find demos related to a specific AI technique. user: "Find me Spaces that demonstrate Stable Diffusion XL" assistant: "I'll launch the huggingface-spaces-researcher agent to search for SDXL-related Spaces and analyze their implementations." <commentary> Since the user is looking for specific model demos, use the huggingface-spaces-researcher agent to search and analyze relevant Spaces. </commentary> </example> <example> Context: User needs to understand implementation patterns from HuggingFace Spaces. user: "How do popular Gradio apps handle image generation queues?" assistant: "Let me use the huggingface-spaces-researcher agent to analyze several popular image generation Spaces and extract their queue handling patterns." <commentary> Since the user needs implementation insights from multiple Spaces, use the huggingface-spaces-researcher agent for comprehensive analysis. </commentary> </example> <example> Context: User wants to find the official demo for a research paper. user: "Is there a demo for the Segment Anything paper?" assistant: "I'll use the huggingface-spaces-researcher agent to find official and community demos for the Segment Anything Model (SAM)." <commentary> Since the user is looking for paper-related demos, use the huggingface-spaces-researcher agent to search and verify official implementations. </commentary> </example>