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GLM-Zero-Preview

GLM-Zero-Preview

GLM-Zero-Preview in-depth reasoning model smart chapter
Discover GLM-Zero-Preview, enhancing AI推理 for complex problems and coding, now available on the Zhipu Qingyan platform.
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Author:LoRA
Inclusion Time:11 Feb 2025
Visits:7767
Pricing Model:Free
Introduction

What is StackBlitz?

StackBlitz is a web-based IDE tailored for the JavaScript ecosystem. It uses WebContainers, powered by WebAssembly, to create instant Node.js environments in your browser. This offers exceptional speed and security.

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What can GLM-Zero-Preview do?

GLM-Zero-Preview is a cutting-edge inference model developed by Zhipu AI. It excels in complex reasoning tasks including mathematical logic and coding. Compared to base models, it enhances specialized task capabilities without sacrificing general performance.

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How does GLM-Zero-Preview perform on specific benchmarks?

In tests like AIME 2024, MATH500, and LiveCodeBench, GLM-Zero-Preview performs comparably to OpenAI o1-preview.

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Who is the target audience for GLM-Zero-Preview?

The primary users of GLM-Zero-Preview include researchers, developers, and students who need to handle deep reasoning tasks.

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Can you give examples of how GLM-Zero-Preview can be used?

Sure! Researchers can use it to explore new research paths with complex logical problems. Developers can quickly write and debug code, such as HTML for games. Students can understand and solve challenging math problems using detailed solution processes.

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What are the key features of GLM-Zero-Preview?

Key features include enhanced reasoning abilities, improved expert-level task performance, comparable effectiveness to OpenAI o1-preview, free usage and API access, reinforcement learning techniques, and scaling laws for better results with increased token counts and computational resources.

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How can developers interact with GLM-Zero-Preview?

Developers can use the API on the BigModel platform to call the model and start with a free 200 million token trial package. They can also input instructions or questions based on their needs and analyze the model's output.

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What should users pay attention to when using GLM-Zero-Preview?

Users should continuously monitor updates from Zhipu AI to stay informed about the latest features and improvements of the GLM-Zero model.

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