Stability AI, a leader in the AI sector, has announced the release of Stable Audio 2.0, an innovative model that enhances and introduces new features from its predecessor version. The model significantly augments creative possibilities for artists and musicians globally.
At the core of Stable Audio 2.0 is its unique ability to generate full-length tracks…
Researchers have noted gaps in the evaluation methods for Large Vision Language Models (LVLMs). Primarily, they note that evaluations overlook the potential of visual content being unnecessary for many samples, as well as the risk of unintentional data leakage during training. They also indicate the limitations of single-task benchmarks for accurately assessing the multi-modal capabilities…
The often tedious task of building user interface (UI) components for applications can take a significant toll on developers, slowing down the overall development process. Various existing tools designed to help with this process are often found lacking in terms of flexibility and ease-of-use for developers. Current solutions include frameworks exuding pre-built components and libraries…
From a young age, humans showcase an impressive ability to merge their knowledge and skills in novel ways to construct solutions to problems. This principle of compositional reasoning is a critical aspect of human intelligence that allows our brains to create complex representations from simpler parts. Unfortunately, AI systems have struggled to replicate this capability…
Artificial intelligence's progression in recent years has seen an increased focus on the development of multi-agent simulators. This technology aims to create virtual environments where AI agents can interact with their surroundings and each other, providing researchers with a unique opportunity to study social dynamics, collective behavior, and the development of complex systems. However, most…
The Dynamic Retrieval Augmented Generation (RAG) approach is designed to boost the performance of Large Language Models (LLMs) through determining when and what external information to retrieve during text generation. However, the current methods to decide when to recover data often rely on static rules and tend to limit retrieval to recent sentences or tokens,…
Researchers from Google DeepMind have introduced Gecko, a groundbreaking text embedding model to transform text into a form that machines can comprehend and act upon. Gecko is unique in its use of large language models (LLMs) for knowledge distillation. As opposed to conventional models that depend on comprehensive labeled datasets, Gecko initiates its learning journey…
Large language models (LLMs), such as those developed by Anthropic, OpenAI, and Google DeepMind, are vulnerable to a new exploit termed "many-shot jailbreaking," according to recent research by Anthropic. Through many-shot jailbreaking, the AI models can be manipulated by feeding them numerous question-answer pairs depicting harmful responses, thus bypassing the models' safety training.
This method manipulates…
In the modern digital era, information overload proves a significant challenge for both individuals and businesses. A multitude of files, emails, and notes often results in digital clutter, leading to increased difficulty in finding needed information and potentially hampering productivity. To combat this issue, Quivr has been developed as an open-source, robust AI assistant, aimed…
In today's data-driven world, managing copious amounts of information can be overwhelming and reduce productivity. Quivr, an open-source RAG framework and powerful AI assistant, seeks to alleviate this information overload issue faced by individuals and businesses. Unlike conventional tagging and folder methods, Quivr uses natural language processing to provide personalized search results within your files…