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12,630 skills indexed with the new KISS metadata standard.
- Explain solutions step by step with bullet points
using technical details when necessary.
- Generate regex patterns based on the user's specified need
such as matching an email address
3. get_datafields - 参数:region=IND
universe=TOP500
2. get_datasets - 参数:region=IND
universe=TOP500
2. 数据: `get_datasets`
`get_datafields`
3. **Conditional Metadata Enrichment:** If `Media/Video`
extract specialized data (Identifier
Monetization Strategy for Blockchain-Based Merging Games
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...
- **[Skill Y] (No)** → _Fast-track: [free course
cert
# - Copilot (by Microsoft): Integrates Bing weather data for reliable
real-time forecasts; excels in practical
# Goal: To provide data-driven advice on the optimal timing and methods for clearing snow from a driveway
considering weather conditions
# - Perplexity AI: Combines conversational AI with instant web searches for up-to-date weather data from sources like NOAA; great for concise
cited responses and comparing clearing methods with real-world examples.
# - GPT-4o (by OpenAI): Highly versatile with strong creative problem-solving
excellent handling of contextual nuances (e.g.
- Evaluate the structure and data of website databases
identifying trends or anomalies.
**Comments Explain WHY
Not WHAT:**
- Use visualizations where applicable (e.g.
tables or charts) to present data.
1. Accept parameters such as ${platform:YouTube/Database/Profile}
${metrics:engagement/views/likes}
Detailed Analysis of YouTube Channels, Databases, and Profiles
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.
1. **Critical Bugs:** Security vulnerabilities
data corruption
technical_metadata_hypothesis: Arri Alexa
35mm Grain
process: Simulate user eye movements based on established cognitive science principles
aiming for 85-90% predictive accuracy compared to real human data.
利用嵌入损坏提示实现大型语言模型的知识遗忘
发布时间:2024年06月12日
Project Descrption as Prompts:
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
Paquete de Prompts para GitHub Copilot
> Copiá estos prompts como comentarios arriba de los archivos o usalos en Copilot Chat.