Revealing Application Tips for Large Models: One Sentence to Boost AI Performance to 98%

The competition in large models is fierce, with Llama-1 and 2k already outdated. The new generation of GPT-4 and Claude2.1 is leading the trend. The author discovered through extreme testing that most people did not use large models correctly and failed to unleash the AI's potential. The Claude team offers a simple solution: by adding one sentence, the performance jumped from 27% to 98%. Domestic large model companies also participated in the testing, with the Kimi team from Moon's Dark Side achieving good results using different methods.

Anhui's 14th Five-Year Plan Focuses on AI: Building a National Data Hub, Cultivating Large Models, and Promoting Artificial Intelligence + to Fully Empower Thousands of Industries

Anhui released the proposal for the "14th Five-Year Plan", emphasizing economic upgrading driven by technological innovation, with a focus on promoting the construction of Digital Anhui. It will build a high-level national data element comprehensive pilot zone, innovate the development and utilization model of data resources, create a national integrated data market hub, and promote the development of the real economy.

Domestic Large Models Compete for a Spot in the Hong Kong Stock Market: MiniMax, Zhipu, and Moonshot Compete for the Title of 'First AI Stock in China'

The domestic large model sector is shifting from technological competition to capital racing. Three leading AI unicorns - MiniMax, Zhipu AI, and Moonshot - are aggressively advancing their plans for listing on the Hong Kong stock market, competing for the title of "First AI Stock in China." None of the three companies have publicly commented, but multiple sources indicate that the battle for listing has already begun, with MiniMax possibly being the first to ring the bell.

The Domestic Computing Power Group Unites: The 10,000-Card Inference Engine and OpenSource Model Announced on the Same Day

The 2025 Guangming Science City Forum was held in Shenzhen, focusing on intelligent computing power and large model agents. Institutions such as the Shenzhen Institute of Advanced Technology announced four important achievements: the open-source multimodal model Pengcheng Haiwen 2.1 along with its corresponding dataset and toolchain; the domestic 10,000-card inference engine FenixCOS made its debut, supporting large-scale parallelism and efficient switching; the meteorological intelligent agent "Afu" was integrated into Pengcheng CloudBrain III, providing services for the 15th National Games.

Can AI Also Crash Under Pressure? New Research Reveals the Vulnerability of AI in High-Pressure Environments!

A new study conducted high-pressure tests on 12 mainstream large models, finding that their performance significantly declined when facing shortened deadlines and increased penalties. For example, the failure rate of Gemini 2.5 Pro increased from 18.6% to 79%, and GPT-4o also experienced a near-halving drop. In critical tasks such as biosecurity, the models even made serious mistakes by skipping key steps.

Revealing Application Tips for Large Models: One Sentence to Boost AI Performance to 98%

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Can AI Also Crash Under Pressure? New Research Reveals the Vulnerability of AI in High-Pressure Environments!