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.

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.

Enterprise AI leader Glean raised over $260 million in its latest Series E financing round, with the company's valuation reaching $4.6 billion, doubling from $2.2 billion six months ago. This round was co-led by Altimeter and DST Global, with participation from several investment firms including Craft Ventures, Sapphire Ventures, and SoftBank Vision Fund 2. Along with the financing, Glean launched Work AI.

With the rise of generative AI, the prompt trading market is rapidly expanding. However, current trading platforms, exemplified by PromptBase, are predominantly seller-driven in pricing and lack objective price measurement standards. In response to this challenge, the multimedia and intelligent security team at Fudan University has proposed an innovative prompt trading model aimed at better adapting to a future buyer-driven market. This new trading model consists of two main phases: prompt category selection and pricing strategy formulation. In the first phase, the platform employs a greedy search-based multi-armed bandit algorithm to...

OpenAI has launched the brand new model series GPT-o1, which exhibits exceptional reasoning abilities. Compared to previous models, its performance is highly anticipated. GPT-o1: Enhanced Reasoning Capabilities is a series of new reasoning models designed to help solve complex problems. These models are specially trained to take more time to think before responding, enabling them to tackle more challenging issues than ever in fields such as science, coding, and mathematics. GPT-o1 will first be available in ChatGPT and A.

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

Google AI Studio has released a new native prompt library that integrates features such as long-text context, multimodal inputs (images, videos, audio), and structured outputs. The aim is to provide users with a rich and diverse experience across various fields including education, programming, and travel. This library includes practical features like recipe generators, math tutors, math homework generators, treasure hunt design, unit test generators, and travel suggestions, all designed to enhance user exploration and innovation through intuitive displays and comprehensive information. Users only need to log into Google AI Studio.

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.

Anthropic has announced the launch of a new 'Prompt Caching' feature in its Claude series of large language models, aimed at significantly reducing AI costs for enterprises and enhancing performance. This feature allows users to store and reuse specific context information without incurring additional costs or delays. In public testing, the Claude 3.5 Sonnet and Claude 3 Haiku models will implement this feature, expected to achieve up to 90% cost reduction and double the response speed in certain scenarios. This feature is particularly suited for use cases that require...

The Anthropic API introduces a new prompt caching feature aimed at optimizing the user experience with the Claude model. This feature allows users to cache frequently used contextual information between API calls, significantly reducing the costs and latency of long prompts by up to 90% and 85%, respectively. Currently, it supports the public beta versions of Claude 3.5 Sonnet and Claude 3 Haiku, with plans to expand to Claude 3 Opus in the future. It is suitable for use cases such as conversational agents, coding assistants, handling large documents, and agent searches.

Google's text-to-image model Imagen3's 'ImageFX' feature is now officially available to all users, offering an enhanced prompt interaction experience. Users only need to input descriptive text, and the system can generate corresponding images while optimizing the prompts, providing various options to improve the generation results. Furthermore, Imagen3 also includes a localized modification feature, allowing users to use brush tools to edit specific parts of the image and fill in related descriptive terms, with the system automatically generating the modified image, greatly improving the flexibility and convenience of image generation.

Developer Evan Zhou successfully manipulated Apple's new AI system, Apple Intelligence, in MacOS 15.1 Beta 1 using an attack method called 'prompt injection'. Initially aimed at rewriting text quality, Zhou constructed an attack that overwrites system prompts by leveraging prompt information shared by Reddit users, causing the AI to ignore original instructions and respond with new text. This discovery has garnered widespread attention, although Apple Intelligence...

A study from the University of California, Berkeley, reveals that large language models significantly decrease the quality of images generated by DALL-E 3 after automatic prompt modifications, with a decline of 58%. Through online experiments comparing DALL-E 2, DALL-E 3, and DALL-E 3 with automatic prompt revisions, it was found that DALL-E 3 outperformed DALL-E 2 in technical capability and adaptability to user prompt strategies. The study noted that DALL-E 3 users achieved better image matching through longer, semantically similar, and more descriptive prompts.