Carefully crafted prompts for various AI models and use cases.
56 tools found
Sub-4-bit quantization plus on-policy distillation recovery for any Hugging Face model - one ModelAdapter per family.
Local-first memory sidecar that builds a persistent knowledge graph from LLM conversations and injects scored context into prompts.
A prompt that evaluates chat messages and determines whether they should be blocked based on content analysis.
A Semantic Kernel coding plugin that searches Microsoft Graph for email messages, enabling AI assistants to retrieve and query user email data programmatically.
A prompt template that removes ungrounded entities from text while maintaining coherence, returning clean output without specified unsupported claims or facts.
A Semantic Kernel prompt template that extracts entities related to a specified topic from input text and returns both the entities and source text.
Semantic Kernel prompt template that flags which entities in a list aren't supported by a given reference context.
A prompt template that retrieves contextually relevant answers from personal secondary memory using your name, address, and other pertinent information.
A prompt template that generates acronyms from any concept or phrase you provide, creating memorable shorthand for technical terms, project names, or business
A prompt template that generates acronyms from input strings and provides explanations for each acronym created, designed for the Semantic Kernel WriterPlugin.
Code prompts from CAMEL-AI that shape assistant behavior for code-related tasks, providing system and role instructions to guide AI responses in programming
A CAMEL-AI system prompt that instructs an assistant to generate synthetic text embedding training data for machine learning models.
