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…
Artificial intelligence and deep learning models, despite their popularity and capacity, often struggle with generalization, particularly when they encounter data that differs from what they were trained on. This issue arises when the distribution of training and testing data varies, resulting in reduced model performance.
The concept of domain generalization has been introduced to combat…
Large Language Models (LLMs) have shown significant impact across various tasks within the software engineering space. Leveraging extensive open-source code datasets and Github-enabled models like CodeLlama, ChatGPT, and Codex, they can generate code and documentation, translate between programming languages, write unit tests, and identify and rectify bugs. AlphaCode is a pre-trained model that can help…
BrainBox AI Introduces ARIA: The Globe’s Initial Virtual Building Assistant Powered by Generative AI
The introduction of ARIA, the Generative AI-Powered Virtual Building Assistant by BrainBox AI, is bringing about a significant transformation in the way buildings are managed. ARIA caters to facility managers and building operators by providing advanced solutions to streamlining operations, enhancing energy efficiency, and reducing pollution.
ARIA plays the role of an intelligent building assistant, handling…
BrainBox AI has developed an innovative Generative AI-Powered Virtual Building Assistant, ARIA. Created to revolutionize building management, ARIA applies advanced AI technology to facilitate smoother running of buildings, significant energy savings, and decreased pollution. Overall, ARIA operates like a smart assistant for buildings, handling aspects from energy use optimization to daily operations.
Crucial to ARIA's operation…