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Which language model works best for your prompt? What are the biases inherent in each? Compare LLaMA3, Gemini, Mistral, OpenAI GPT-4o engines with more LLMs being added each month.
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Run
Examples
API
GPT-4o (openai)
prompt
string
Template variable
title
⚙️ Settings
Avoid Repetition
JSON Object
The maximum number of tokens to generate in the completion. Increase to generate longer responses.
Higher values allow the LLM to take more risks. Try values larger than 1 for more creative applications or 0 to ensure that LLM gives the same answer when given the same user input.
How many answers should the copilot generate? Additional answer outputs increase the cost of each run.
Run cost = 2 credits
Breakdown: 1Cr for GPT-4o (openai) + 1Cr/run
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