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The first list of "AI Search" evaluation benchmarks was released! 4o leads by a small margin, and the domestic big models performed brilliantly, with a total of 5 bases, 11 scenarios, and 14 models-Chief AI Sharing Circle

The first list of "AI Search" evaluation benchmarks was released! 4o's leading margin is small, and domestic big models perform brilliantly, with a total of 5 bases, 11 scenarios, and 14 models.

The benchmark evaluation of Chinese big model "AI Search" (SuperCLUE-AISearch) was released, which is an in-depth evaluation of the ability of big model combined with search. The evaluation not only focuses on the basic capabilities of the big model, but also focuses on its performance in scenario applications. The evaluation covers five basic capabilities such as information retrieval capability, latest...

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Complex Reasoning Capabilities of Large Models from OpenAI-o1 - Chief AI Sharing Circle

Complex Reasoning for Large Models from OpenAI-o1

In 2022 OpenAI released ChatGPT, which became the world's fastest APP to break through the hundreds of millions of users, and at that time people thought that we were closer to true artificial intelligence. But people soon realized that ChatGPT could talk and chat, and even write poems and articles, but it still wasn't quite as good at simple logic...

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NVIDIA Garak: Open-source tool to detect LLM vulnerabilities, secure generative AI - Chief AI Sharing Circle

NVIDIA Garak: Open-source tool to detect LLM vulnerabilities and secure generative AI

Comprehensive Introduction NVIDIA Garak is an open source tool that specializes in detecting vulnerabilities in Large Language Models (LLMs). It checks the model for multiple weaknesses such as illusions, data leakage, hint injection, error message generation, harmful content generation, etc. through static, dynamic and adaptive probing.Garak resembles ...

Learn TOML format profile in a minute - Chief AI Sharing Circle

Learn TOML format configuration files in a minute

TOML is a clean and simple configuration file format 📄 designed to be more human readable and writable ✨. ✅ Easier to write: Configurations are represented as key-value pairs without complex indentation and syntax rules, reducing the error rate. ✅ Clearer: Supports grouping and nesting structure, clear hierarchy, configuration logic...

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