LLMs have shown impressive abilities in handling complex question-answering tasks, supported by advancements in model architectures and training methods. Techniques like chain-of-thought (CoT) prompting have gained popularity for improving the explanation and accuracy of responses by guiding the model through intermediate reasoning steps. However, CoT prompting can result in longer outputs, increasing the time needed… →
Large Language Model (LLM) agents are experiencing rapid diversification in their applications, ranging from customer service chatbots to code generation and robotics. This expanding scope has created a pressing need to adapt these agents to align with diverse user specifications, enabling highly personalized experiences across various applications and user bases. The primary challenge lies in… →
Hackers finding a way to mislead their AI into disclosing critical corporate or consumer data is the possible nightmare that looms over Fortune 500 company leaders as they create chatbots and other generative AI applications. Meet Lakera AI, a GenAI security company and cool start-up that uses AI to shield businesses from LLM flaws in… →
Recent advancements in video generation have been driven by large models trained on extensive datasets, employing techniques like adding layers to existing models and joint training. Some approaches use multi-stage processes, combining base models with frame interpolation and super-resolution. Video Super-Resolution (VSR) enhances low-resolution videos, with newer techniques using varied degradation models to better mimic… →
BACKGROUND: Despite the recent advances in cancer treatment, the therapeutic options for patients with biliary tract cancer are still very limited and the prognosis very poor. More than 50% of newly diagnosed patients with biliary tract cancer are not amenable to curative surgical treatment and thus treated with palliative systemic treatment. Malignant bile duct obstructions… →
The number of modern applications containing both the backend and frontend code with one or more generative AI models is increasing rapidly. Developers are required to keep up with the expanding field of AI engineering in order to incorporate these models into their latest projects. Currently, the major issue that developers are facing is limited… →
Visual understanding is the abstracting of high-dimensional visual signals like images and videos. Many problems are involved in this process, ranging from depth prediction and vision-language correspondence to classification and object grounding, which include tasks defined along spatial and temporal axes and tasks defined along coarse to fine granularity, like object grounding. In light of… →
Speech recognition is a rapidly evolving field that enables machines to understand and transcribe human speech across various languages. This technology is vital for virtual assistants, automated transcription services, and language translation applications. Despite significant advancements, the challenge of covering all languages, particularly low-resource ones, remains substantial. A major issue in speech recognition is the… →