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Disrupting malicious uses of AI by state-affiliated threat actors
Accounts linked to state-affiliated threat actors were terminated. Our analysis revealed that our models have limited capabilities for dealing with malicious cybersecurity activities.
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NVIDIA’s custom chatbot runs locally on RTX AI PCs
NVIDIA’s Chat with RTX demo showcases AI chatbots running locally on Windows PCs using RTX GPUs, enabling fast and private interaction without internet access. Users can create personalized chatbots using Mistral or Llama 2 and leverage various file formats. While it’s currently a demo with limitations, it provides a glimpse into future AI interactions.
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Salesforce AI Researchers Propose BootPIG: A Novel Architecture that Allows a User to Provide Reference Images of an Object in Order to Guide the Appearance of a Concept in the Generated Images
The research paper by Salesforce AI introduces BootPIG, a novel architecture for personalized image generation in text-to-image models. BootPIG uses RSA layers to guide image generation based on reference object features. Training uses synthetic data generation and achieves impressive results, outperforming existing methods in terms of subject and prompt fidelity. Read more on MarkTechPost.
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6 Best AI Tools to Chat with Anime Characters
AI tools now allow anime fans to chat with their favorite characters. Free options are available with the ability to create custom characters and hold diverse conversations. Notable tools include Character.ai, ChatFAI, Dittin AI, Moemate, and AI CharFriend. Each offers unique features such as customizable characters, voice cloning, and NSFW conversation support._paid options also exist.
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Experience the Magic of Stable Audio by Stability AI: Where Text Prompts Become Stereo Soundscapes!
Stable Audio introduces a groundbreaking generative model for creating high-quality, detailed audio from textual prompts. With a unique method combining convolutional variational autoencoder and conditioning on text prompts, it delivers efficient and high-fidelity audio production, outperforming existing models. This innovation advances possibilities for text-to-audio synthesis, setting a new standard in audio generation.
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Meet Lumos: A RAG LLM Co-Pilot for Browsing the Web, Powered by Local LLMs
A privacy-focused browser extension called Lumos helps users efficiently manage and understand online content by performing all processing locally, addressing privacy concerns. It uses advanced language models to summarize and answer content questions, enabling users to digest information without relying on external servers. Lumos aims to enhance online reading efficiency while prioritizing user privacy.
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Extensible Tokenization: Revolutionizing Context Understanding in Large Language Models
A team from the Beijing Academy of AI and Gaoling School of AI at Renmin University introduced Extensible Tokenization, a breakthrough method expanding Large Language Models’ (LLMs) capacity without increasing their context windows. It addresses limitations in LLMs’ context size and maintains performance. The method enhances AI’s data analysis capabilities, representing a significant advancement in…
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This AI Paper from China Introduce InternLM-XComposer2: A Cutting-Edge Vision-Language Model Excelling in Free-Form Text-Image Composition and Comprehension
The development of AI has significantly advanced the integration of text and imagery, posing challenges in creating cohesive multi-modal outputs. Existing approaches struggle to balance language understanding and visual elements. Researchers from Shanghai AI Lab, Chinese University of Hong Kong, and SenseTime Group introduced InternLM-XComposer2, a model that excels in text-image composition and comprehension, setting…
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Memory and new controls for ChatGPT
ChatGPT is testing a feature where it can remember past conversations to improve future interactions. Users will have control over ChatGPT’s memory.
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Meet MouSi: A Novel PolyVisual System that Closely Mirrors the Complex and Multi-Dimensional Nature of Biological Visual Processing
Large vision-language models (VLMs) face challenges with visual components and long tokens, limiting their ability to interpret complex information. A new approach proposes using ensemble techniques to combine strengths of visual encoders and language models. Testing with six experts showed enhanced performance, especially with triple experts. This method can improve VLMs’ ability to handle complex…