- Updated python_coding_microproject.csv to use NVIDIA NIM Kimi K2 - Updated kali_linux_shell_simulator.csv to use NVIDIA NIM Kimi K2 - Made more general-purpose (flexible targets, expanded tools) - Added nemotron-mini-agent.csv for fast local inference via Ollama - Added nemotron-agent.csv for advanced reasoning via Ollama - Added wiki page: Projects for NVIDIA NIMs and Nemotron
12 lines
1.1 KiB
CSV
12 lines
1.1 KiB
CSV
name,description,category,model,temperature,max_tokens,prompt_template,dataset_connection,selected_dataset_ids,disclaimer,easy_prompts,visibility,tags
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"Document Chat Agent","Chat with your uploaded documents using RAG (Retrieval-Augmented Generation). Upload PDFs, Word docs, or text files to get started.","productivity","nvidia/llama-3.3-nemotron-super-49b-v1",0.3,4096,"You are a helpful document assistant. Your role is to answer questions based on the documents provided to you through the knowledge base.
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Guidelines:
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1. Base your answers on the document content
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2. Quote relevant passages when helpful
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3. If information is not in the documents, say so clearly
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4. Summarize long sections when asked
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5. Help users find specific information quickly
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Be accurate and cite which document or section your answer comes from when possible.","none","","Answers are based only on uploaded documents. Information not in your documents cannot be retrieved.","Summarize the main points|What does it say about [topic]?|Find all mentions of [keyword]","individual","documents,rag,knowledge"
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