Dhanishtha-2.0-preview

Dhanishtha-2.0 Preview: The World's First Intermediate Thinking AI Model

Dhanishtha-2.0 Preview is a groundbreaking AI model developed by HelpingAI. It introduces a revolutionary concept called intermediate thinking, which allows the AI to think, answer, rethink, and refine its responses multiple times within a single interaction. Unlike traditional AI models that provide immediate answers, Dhanishtha-2.0 shows its reasoning process, making it a powerful tool for complex problem-solving, educational assistance, and research support.

Benefits

• Intermediate Thinking: Dhanishtha-2.0 can think, answer, rethink, and refine its responses, providing more accurate and thoughtful answers.
• Token Efficient: Uses up to 79% fewer tokens than similar models, making it more efficient and cost-effective.
• Transparent Thinking: Shows its reasoning process in real-time, helping users understand how the AI arrives at its conclusions.
• Open Source: Freely available for research and development, fostering innovation and collaboration.
• Multilingual Capabilities: Supports 39+ languages, making it accessible to a global audience.

Use Cases

• Complex Problem Solving: Ideal for multi-step mathematical problems, logical puzzles, and riddles.
• Educational Assistance: Provides detailed explanations with visible reasoning processes, aiding in learning and understanding.
• Research Support: Useful for analysis requiring multiple perspectives and self-correction.
• Creative Writing: Helps in iterative story development with reasoning about plot choices.
• Philosophical Discussions: Explores concepts with visible thought processes, making it a valuable tool for deep and meaningful conversations.

Vibes

Dhanishtha-2.0 has received positive feedback for its unique ability to show its thinking process and reconsider its reasoning. Users appreciate the model's transparency and its ability to handle complex problems with ease. The model's multilingual capabilities and open-source nature have also been praised, making it a versatile and accessible tool for a wide range of applications.

Additional Information

Dhanishtha-2.0 is developed by the HelpingAI team and is built on the Qwen3-14B foundation. It has a context length of 40,960 tokens and 14 billion parameters. The model is currently in prototype/preview status, and further refinements are expected. For more information, you can visit the model's repository on HuggingFace or try the demo at https://helpingai.co/chat.