Peking University Introduces GPT-4 Based AI Teaching Assistant Brainiac Buddy

The data to be translated: Peking University has introduced Brainiac Buddy, an AI teaching assistant based on GPT-4, with the aim of providing an enhanced learning and teaching experience. Dong Bin, the project founder, boasts a rich background in mathematics and machine learning. For students, Brainiac Buddy can highlight key points in the curriculum, answer questions, and improve learning efficiency. For teachers, it assists in creating lesson plans, saving time and effort. This AI teaching assistant offers personalized, tailored learning experiences and is expected to transform traditional teaching methods, driving progress in the field of education.

WeChat Mini Program Education Platform Freely Opens AI Teaching Projects to Teachers and Students, Exceeding 170,000

The WeChat Mini Program Education Platform has been in operation for five years and has covered over 5,000 schools worldwide. Teachers and students have collectively created more than 170,000 mini program projects. The platform provides free AI teaching tools, lowers the entry barrier, and supports the entire learning and application process.

OpenAI Accused of Backroom Deals, Paying Users Face Model Degradation

OpenAI recently sparked controversy due to secret model switching. Paid users reported that their GPT-4/5 were automatically replaced with low-computing power filtered models gpt-5-chat-safety and gpt-5-a-t-mini without prior notice, especially causing a sharp decline in response quality when dealing with sensitive content. This move has been questioned by users for infringing on their right to choose and be informed, highlighting the issue of insufficient platform transparency.

AI Chatbots Easily Fooled, According to IBM Research

["IBM's research shows that it is very easy to deceive large language models into generating malicious code or providing false security advice.","Hackers only need some basic knowledge of English and an understanding of the model's training data to easily deceive AI chatbots.","Different AI models have different sensitivities to deception, and GPT-3.5 and GPT-4 are relatively easy to deceive."]

Google Research: Synthetic Data Boosts Large Model Math Reasoning Eightfold

A recent joint study by Google, Carnegie Mellon University, and MultiOn explores the application of synthetic data in training large language models. According to Epoch AI, a research institution focused on AI development, currently available high-quality text training data totals around 300 trillion tokens. However, with the rapid advancement of large models like ChatGPT, the demand for training data is growing exponentially, projected to exhaust existing resources by 2026. Therefore, synthetic data is becoming increasingly crucial.

Peking University Introduces GPT-4 Based AI Teaching Assistant Brainiac Buddy

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