Multi Llm Advisor

What it does

The multi-LLM Advisor skill allows an AI agent to leverage multiple Large Language Models (LLMs) for more comprehensive and nuanced responses. It can compare outputs from different models, synthesize information, and provide a consolidated answer or recommendation based on the strengths of each LLM. This results in higher quality and more reliable outcomes than relying on a single model.

When to use it

• Complex Problem Solving: When facing a multifaceted question requiring diverse perspectives or specialized knowledge that might be better handled by different models.
• Fact Verification & Bias Mitigation: To cross-reference information from multiple LLMs, reducing the risk of inaccurate or biased responses.
• Creative Content Generation: To combine creative writing styles or generate more varied and engaging content by drawing on different LLM capabilities.
• Decision Support: When needing a balanced recommendation considering various factors and potential outcomes that can be assessed using different models.

Key capabilities

• Comparison of LLM outputs
• Synthesis of information from multiple sources
• Consolidated response generation
• Leveraging strengths of individual LLMs

Example prompts

• "Compare the responses from GPT-4, Claude 3 Opus and Gemini 1.5 Pro regarding the ethical implications of AI art generation."
• “Summarize the key arguments for and against universal basic income, using insights from both a legal LLM and an economic LLM.”
• "Generate three different marketing slogans for a new coffee shop, one each in the style of Hemingway, Shakespeare, and a modern social media influencer. Then combine them into a single, compelling message."

Tips & gotchas

• The effectiveness of this skill depends on having access to multiple LLMs through appropriate APIs or integrations.
• Consider the cost implications of querying multiple models – it can be significantly higher than using just one.