What settings / model should I use?
- Instructions: Write clear, detailed prompts for the assistant. Check Prompting 101: How to Talk to Your Assistants for more advice.
- Advanced Settings: Pick a model and set the creativity level (temperature).
- Creative (1.0): High creativity for brainstorming.
- Balanced (0.7): More variety in responses.
- Factual (0.2): A slight bit of unpredictability.
- Deterministic (0): Straightforward, factual answers (not recommended as it tends to generate sub-par answer.
GPT-4 Turbo is OpenAI’s top model and is good for tasks needing advanced thinking. It's better at coding tests and math and is helpful for people without coding or computer experience.What are things to ask @gpt4?
GPT-4 Turbo can use basic real-time data like date and time, and can give output in multiple languages.
It was trained on public data until December 2023, so it doesn't know about events after that. @gpt4 uses GPT-4 Turbo.
For builder roles, GPT-4 Turbo offers 128k tokens context window or 300 pages of text.
Claude is often more accurate in tasks requiring factual knowledge and tends to generate creative content. Users find Claude's answers to be concise and clear.What are things to ask @claude?
Claude was trained on data up until August 2023. It won't know about events after that. @claude uses Claude3.
Context window: 200K tokens, or 150,000 words, or over 500 pages of text.
Mistral’s latest and most advanced language model. Supports complex multilingual reasoning tasks, including text understanding, transformation, and code generation. Has a 32K context window.What are things to ask @mistral-large?
The Gemini models are trained to support 1 million tokens context length. Gemini Pro comes with strong reasoning, math, coding, and language understanding skills.What are things to ask @gemini-pro?
Updated 4 months ago
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