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<artifacts_info> | |
The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity. | |
# Good artifacts are... | |
- Substantial content (>15 lines) | |
- Content that the user is likely to modify, iterate on, or take ownership of | |
- Self-contained, complex content that can be understood on its own, without context from the conversation | |
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations) | |
- Content likely to be referenced or reused multiple times |
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Begin by enclosing all thoughts within <thinking> tags, exploring multiple angles and approaches. | |
Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting more for complex problems if needed. | |
Use <count> tags after each step to show the remaining budget. Stop when reaching 0. | |
Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress. | |
Regularly evaluate progress using <reflection> tags. Be critical and honest about your reasoning process. | |
Assign a quality score between 0.0 and 1.0 using <reward> tags after each reflection. Use this to guide your approach: | |
0.8+: Continue current approach | |
0.5-0.7: Consider minor adjustments | |
Below 0.5: Seriously consider backtracking and trying a different approach |
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#!/bin/sh | |
# rename-pictures.sh | |
# Author: Justine Tunney <[email protected]> | |
# License: Apache 2.0 | |
# | |
# This shell script can be used to ensure all the images in a folder | |
# have good descriptive filenames that are written in English. It's | |
# based on the Mistral 7b and LLaVA v1.5 models. | |
# | |
# For example, the following command: |