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When enabled, the AI can use tools to access real-time information or perform specific actions. This is crucial for questions about recent events or facts not in its training data.
/search command (e.g., /search latest news on AI) to get up-to-date information from the web or summarize web pages.Special Note: Even though many models are labeled as supporting assist tools, models like Google's Gemini often perform best with them. Assist tools can sometimes be inconsistent, as each model might require a different interaction format for optimal performance.
See the AI's "thought process." When this is checked, supported models will first show a step-by-step plan or reasoning before giving the final answer. This is great for understanding how the AI arrives at a conclusion, especially for complex tasks or coding problems.
Special Note: Many "thinking" models are defaulted to show reasoning, even if you turn this preference off. Conversely, non-supported models will not be affected by this preference.
This feature allows the AI to have long-term memory. It works as a mixed solution between an in-built semantic RAG (Retrieval Augmented Generation) system and context history as an aid for supporting low context usage.
Special Note: While it often works great, there can be some fallback errors, which are usually not major. If you wish to strictly limit token context more, you can disable this option, but then long-term memory will not work, and the LLM will forget facts quickly.
/search command for better accuracy.Additional Notes:
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