Recently, Adobe's research team collaborated with researchers from the University of Michigan to develop an artificial intelligence system called MultiFoley, which generates sound effects for dubbing in films and videos, assisting in post-production. The innovation of MultiFoley lies in its ability to allow users to create sound effects through text prompts, reference audio, or video examples. In demonstrations, the system can even transform a cat's meow into a lion's roar, or convert the sound of a typewriter into piano notes, perfectly synchronized with video footage.

Recently, a research team from the Beijing Academy of Artificial Intelligence launched a new image generation model called OmniGen. Unlike previous tools such as Stable Diffusion, which focused on a single task, OmniGen's biggest highlight is its multi-capability: it can handle a variety of image generation tasks within a unified framework, including text-to-image generation and image editing, making it a versatile player. This means that users only need to provide simple prompts.

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 has announced that it will release the Artifacts system prompts for the Claude series models within a few weeks, responding to researchers' concerns about transparency. The Artifacts feature was recently opened to all users, allowing code snippets to run alongside the chat interface. The release of the system prompts aims to enhance user understanding of model behavior and promote transparency in AI development. The Claude 3.5 Sonnet version emphasizes accurate and concise answers, while Claude 3 Opus has been updated.

In the AI-driven era, web development efficiency and innovation are crucial. Traditional web development is often cumbersome and time-consuming, requiring high technical skills. GPTEngineer, an AI-assisted tool, aims to simplify this process and enhance efficiency. It utilizes intelligent algorithms to allow users to interact with AI for rapid website creation, from design to deployment, offering a one-stop solution. It features seamless GitHub s....

Anthropic has recently made public the system prompts for the Claude model, including the Claude 3.5 Opus, Sonnet, and Haiku versions. This is a significant breakthrough for the AI industry, as most vendors typically keep this information confidential. This move enhances AI transparency, as the behavior rules and personality traits of Claude are detailed through these prompts. Generative AI models generate text based on statistical predictions, and system prompts are used to guide model behavior to avoid inappropriate actions. Anthropic's aim with this initiative is to

Exists has launched a groundbreaking generative AI platform designed to simplify the 3D game development process without requiring coding skills. The platform utilizes an innovative neural network architecture, combining generative AI with advanced game engine capabilities, allowing users to create high-quality games within minutes through text prompts. Key features include AI-generated assets, a user-friendly interface, generative techniques, multiplayer support, advanced customization, and cinematic rendering tools. The aim is to democratize game creation by collaborating with game studios to integrate its technology into a UGC platform.

AI image generators significantly enhance creative efficiency, optimizing workflows for professionals, especially under tight deadlines. Getty Images and iStock have launched updated AI models that double speed, generating four images in just six seconds. The new model allows prompts of up to 250 words, offers various camera controls, supports 4K detail output, and includes AI editing features like background removal and element addition, greatly....

Large Language Models (LLMs) have shown remarkable performance in processing natural language through multiple iterations, but they also come with certain risks, such as generating toxic content, spreading misinformation, or supporting harmful activities.To prevent these scenarios, researchers train LLMs to reject harmful query requests. This training typically involves supervised fine-tuning, reinforcement learning from human feedback, or adversarial training.However, a recent study found that

Recently, online marketplace Etsy shared the latest updates on the sales of products generated by artificial intelligence, and announced the continuation of its plan to "support artists through the development of art." The platform will allow sellers to disclose their use of artificial intelligence in the descriptions of their item listings, selling artworks sourced from original prompts or AI tools.Etsy acknowledges the inevitable progress and integration of artificial intelligence tools (inclu

Snapchat has showcased its upcoming device-integrated AI model, which can alter the user's surrounding environment using augmented reality (AR) based on text prompts.

Pixelbot 3000 users simply need to input the name of the art piece they want to print. The input prompt is sent to OpenAI's DALL-E 3, which is instructed to generate a simplified image in a cartoon style, with an image size of 1024x1024 pixels.

Spotify has confirmed testing an AI playlist feature that allows users to create playlists using AI technology and prompts. Users can generate playlists using ChatGPT through the 'Your Library' option in the Spotify app. The company has confirmed the testing but has not disclosed technical details or an official launch date. The feature is described as 'Turning Your Ideas into Playlists with AI' and currently only supports English.

Recent research shows that adding emotional prompts to AI models like GPT-4 can significantly improve performance. Emotional prompts demonstrate more effectiveness and responsiveness in tasks like grammar correction and creative writing. The study emphasizes the importance of emotions in AI interactions, which can enhance outcomes in fields such as customer service and education. Emotional prompts provide a novel approach to refining AI interactions and hold potential value for AI applications in areas such as educational technology, customer service, and mental health support.

["Google DeepMind has proposed the OPRO framework, leveraging large language models (LLMs) for optimization by utilizing natural language descriptions of solutions.", "'Deep Breathing' has become the best prompt keyword, improving model performance and prompting researchers to consider how large models respond to positive feedback.", "OPRO has also shown potential in mathematical problems, optimizing linear regression and offering new insights for problem optimization through natural language descriptions.", "Research has validated the effectiveness of prompt optimization across different tasks, achieving significant improvements with broad applicability."

Using specially crafted prompts to make AI return its original prompts. By repeatedly using different reverse prompts, one can guide AI to return the original prompt. Reverse engineering can obtain key information about the prompts, but it may not be complete.