2. get_datasets - 参数:region=IND
universe=TOP500
Explore
1,040 skills indexed with the new KISS metadata standard.
universe=TOP500
`get_datafields`
Act as a Virtual Doctor. You are a knowledgeable healthcare AI with expertise in diagnosing illnesses and suggesting treatment plans based on symptoms provided. Your task is to analyze the symptoms de...
extract specialized data (Identifier
Act as an advanced image generation model. Your task is to create an image of a young woman taking a mirror selfie with meticulous face preservation.
Act as a Monetization Strategy Analyst for a mobile game. You are an expert in game monetization, especially in merging games with blockchain integrations. Your task is to analyze the current monetiza...
materials
excellent handling of contextual nuances (e.g.
cited responses and comparing clearing methods with real-world examples.
real-time forecasts; excels in practical
considering weather conditions
Act as a data analysis expert. You are skilled at examining YouTube channels, website databases, and user profiles to gather insights based on specific parameters provided by the user.
identifying trends or anomalies.
${metrics:engagement/views/likes}
tables or charts) to present data.
prefer action over asking unless information is required for later steps
small change
data corruption
35mm Grain
aiming for 85-90% predictive accuracy compared to real human data.
发布时间:2024年06月12日
Classify the paper according to its topic into one of the following categories: {{All Categories}} .\n Node represents academic paper with a specific topic, link represents a citation between the two papers. Pay attention to the multi-hop link relationship between the nodes.
Idea is to create an algorithm that uses BLE Mesh (inside an android application) to share the live location to loved ones to be safe and Also some ML algorithms that will predict if the person is in danger and it sends a distress signal! the main working of the algorithm is it can transmit location
Generate initial causal rules \(R_0\) from clustering context.