Google unveils a new blog series and ebook to empower users to write effective prompts for AI chatbots. The guide covers crucial aspects of prompt writing, including persona, task, context, and format. By following the formula and providing detailed prompts, users can unlock the full potential of generative AI models.
A recent assessment conducted by Tsinghua University revealed that Chinese large language models (LLMs) Baidu’s Ernie Bot 4.0 and Zhipu AI’s GLM-4 rank high among domestic models, but fall short compared to foreign counterparts in overall capabilities. The SuperBench assessment found that overseas models, such as OpenAI’s GPT-4 and Anthropic’s Claude-3, demonstrated superior performance in semantic comprehension, coding abilities, and alignment with human commands. The report highlights the need for Chinese LLMs to bridge gaps in code-writing and operative abilities in real-world settings.
The advent of large language models (LLMs) and generative AI has presented a new challenge for organizations: balancing innovation with privacy protection. This news article discusses the privacy concerns associated with these technologies and explores three promising solutions: PII data management, differential privacy, and synthetic data. By implementing these strategies, organizations can leverage the benefits of generative AI while ensuring the confidentiality and security of customer and employee data.
