Chat Long COT model that uses tags
Select and chat with various advanced language models
Ask questions about PDF documents
Generate conversational responses to text input
Engage in conversations with a smart AI assistant
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Run Llama,Qwen,Gemma,Mistral, any warm/cold LLM. No GPU req.
Engage in chat conversations
Interact with a chatbot that searches for information and reasons based on your queries
Generate answers from uploaded PDF
Chat with images and text
Generate chat responses using Llama-2 13B model
Sentient Reasoner is an advanced AI chatbot designed to engage in multi-step reasoning conversations. Built on the Long COT model, it leverages the power of tags to provide structured and logical responses. Unlike traditional chatbots, Sentient Reasoner isn't just a Q&A tool—it actively explains its reasoning process step by step, making it ideal for complex problem-solving and in-depth discussions.
• Multi-step reasoning: Sentient Reasoner can process and combine multiple pieces of information to arrive at a conclusion.
• Natural conversation flow: Engage in back-and-forth dialogue that feels intuitive and human-like.
• Customizable with tags: Use tags to guide the AI's responses, ensuring it stays on topic or follows specific reasoning patterns.
• Contextual understanding: The chatbot maintains context across multiple exchanges, allowing for coherent and meaningful interactions.
• Real-time explanations: Sentient Reasoner provides step-by-step explanations for its answers, enhancing transparency and trust.
What is the purpose of tags in Sentient Reasoner?
Tags are used to guide the AI's reasoning process, ensuring responses are focused and relevant. They help steer the conversation in a specific direction for better outcomes.
Can Sentient Reasoner handle multi-step tasks?
Yes, Sentient Reasoner excels at multi-step reasoning. It can process multiple pieces of information and combine them to solve complex problems.
Is Sentient Reasoner suitable for real-time interactions?
Absolutely! Sentient Reasoner is designed to provide real-time responses, making it ideal for dynamic and interactive conversations.