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Artificial intelligence video generation technology is changing the landscape of content creation at an unprecedented rate. AIbase learned from social media that Google Veo 2 has officially launched on Google AI Studio, offering users free trial access. This news has generated considerable enthusiasm among developers and creators, marking not only a key step in Veo 2's popularization but also providing a low-threshold testing environment for AI video generation. Below is AIbase's in-depth report on this development, analyzing Veo 2's free trial mechanism and...

The rapid development of artificial intelligence technology has placed higher demands on prompt engineering. AIbase learned from social media that OpenAI recently released a prompt engineering guide for GPT-4.1, detailing how to maximize model performance through clear and precise prompts. This guide not only continues traditional best practices but also provides optimized suggestions for the unique characteristics of GPT-4.1. The following is AIbase's in-depth analysis of this guide, guiding you through its core content.

On April 15th, OpenAI released a prompt engineering guide specifically for GPT-4.1, offering developers comprehensive advice and best practices for building and optimizing AI applications more efficiently. This guide details GPT-4.1's features and provides a range of techniques, from fundamental principles to advanced strategies, to help developers fully leverage the power of GPT-4.1.

VideoPainter is a deep learning-based editing tool that allows for automated video content modification using simple prompts. It's particularly well-suited for long-form video editing. Imagine watching a great video, only to find a detail you'd like to change. Previously, you might have had to painstakingly adjust each frame or even reshoot the entire segment. Now, with VideoPainter, you simply input a short prompt, and the system...

Recently, teams from Cambridge University and others published a groundbreaking paper that reveals the true nature of large models (LLMs), providing an in-depth analysis of the actual performance of current large language models (LLMs). The results are shocking — these AI models, once highly anticipated, perform far below expectations on many basic tasks. The study conducted a comprehensive evaluation of several cutting-edge models, including o1-preview. The findings indicate significant discrepancies in understanding capabilities between AI models and humans. Surprisingly, the models struggle with tasks that humans excel at.

In the context of the rapid development of AI technology, prompt engineering has become a critical skill. By cleverly designing prompts, users can guide AI to better understand human intentions and improve the accuracy of AI responses. However, this process poses significant challenges for average users. To address this issue, a team of scientists from Peking University and Baichuan Technology has jointly developed the PAS (Prompt Augmentation System), an intelligent prompting enhancement system based on large language models. PAS improves data utilization, compatibility, and flexibility.

Anthropic announced on Tuesday a suite of new features designed to simplify the process for developers to create AI applications using its language model Claude. These features focus mainly on prompt engineering and are expected to significantly enhance the efficiency of AI application development.New features are located under the Evaluate tab in the Anthropic Console, including: 1. Prompt Generator: Uses Anthropic's own prompt engineering techniques to convert short task descriptions into deta

Today, Baidu launched the AI programming assistant tool, Baidu Comate, based on the Wenxin large model. This tool aims to provide features such as automatic code generation, unit test generation, comment generation, and intelligent Q&A. It supports hundreds of programming languages, significantly enhancing coding efficiency and making programming more efficient and convenient.

Reading, writing, and speaking will become the most important skills in the future. Prompt engineering is no different from communicating with people, as stated by OpenAI employees. The key to conversational AI systems lies in effective communication skills, not just prompt engineering. The importance of these key skills will be highlighted in 2024, even for high-paying prompt engineers. Emphasizing what is uniquely human may be the key to avoiding being replaced by AI.

A detailed translation of Claude's prompt design documentation, including what prompts are, the steps to design prompts, prompt optimization, and more, along with numerous examples of prompt design.

AI native applications are being widely implemented across various industries, from healthcare to finance, and from office work to law. Baidu will reconstruct each business line through 'PROMPT' and release more AI native applications. Prompt engineers will become an important profession in the future, breaking the boundaries between machines and humans.