Large Language Models (LLMs) require safety tuning to ensure alignment with human values. However, even those tuned for safety are susceptible to jailbreaking—errant behavior that escapes designed safety measures. Even benign data, free of harmful content, can lead to safety degradation, an issue recently studied by researchers from Princeton University's Princeton Language and Intelligence (PLI).
The…
The fast-paced evolution of artificial intelligence, particularly Vision Language Models (VLMs), presents challenges in ensuring their reliability and trustworthiness. These VLMs integrate visual and textual understanding, however, their increasing sophistication has brought into focus their ability to detect and not respond to unsolvable or irrelevant questions— an aspect known as Unsolvable Problem Detection (UPD).
UPD…
Artificial intelligence (AI) continues to revolutionize various industries, and OctoAI Inc.'s introduction of OctoStack, a software platform, takes a giant leap forward. OctoStack is designed to empower AI inference environments within businesses, addressing key apprehensions about data privacy, security, and control by allowing businesses to host AI models on their in-house infrastructure.
Previously, large language models…
Natural Language Processing (NLP) has transformed with the advent of Transformer models. The document generation and summarization, machine translation, and speech recognition abilities of Transformers have exhibited significant progress. Their dominance is specifically seen in large language models (LLMs) that deal with more complex tasks through upscaling transformer architecture. However, the growth of the Transformer…
Software development can be a complex process, with developers often having to spend a great deal of time on tasks such as navigating through codebases, debugging and making modifications. Although existing tools and Integrated Development Environments (IDEs) provide some assistance, these may not suffice for more intricate projects. They often offer features like code completion,…
Artificial intelligence (AI) is advancing at a rapid pace, with breakthroughs in natural language processing (NLP) seen in virtual assistants and language models. However, as these systems become more sophisticated, they also become harder to understand, a concern in critical sectors such as healthcare, finance, and criminal justice. Researchers from Imperial College London have now…
Companies are now grappling with a flood of text data—including user-generated content and chat logs—which poses significant challenges for storage, organization, and analysis. Traditional methods of handling such data, often relying on large language models (LLMs), can be time-consuming, expensive, and prone to error. Furthermore, LLMs often prove unsatisfactory when dealing with "creative" labels that…
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…
Artificial Intelligence (AI) continues to expand into every industry imaginable, accelerating business growth and innovation. The rise of AI, however, has not been totally smooth, with the comprehension of user-AI model interaction and measuring a model's performance posing significant challenges. These "black boxes" can be opaque and complex, hindering both the progress of AI and…
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…