The demand for fine-tuning LLMs to incorporate new information and refresh existing knowledge is growing. While companies like OpenAI and Google offer fine-tuning APIs that allow LLM customization, their effectiveness for knowledge updating remains to be determined. LLMs used in fields like software and medicine need current, domain-specific information—software developers need models updated with the…
OpenAI, a pioneer in artificial intelligence technology, is preparing to unleash its next big leap: AI agents. As announced in multiple reports, including TechCrunch, Bloomberg, and The Verge, the new AI agents from OpenAI are expected to launch as early as January 2024. These AI agents, touted as autonomous tools capable of performing various tasks…
Large language models (LLMs) have rapidly become a foundational component of today’s consumer and enterprise applications. However, the need for a fast generation of tokens has remained a persistent challenge, often becoming a bottleneck in emerging applications. For example, the recent trend of inference-time scaling utilizes much longer outputs to perform search and other complex…
In recent years, AI-powered communication has rapidly evolved, yet challenges persist in optimizing real-time reasoning and efficiency. Many natural language models today, while impressive in generating human-like responses, struggle with inference speed, adaptability, and scalable reasoning capabilities. These shortcomings often leave developers facing high costs and latency issues, limiting the practical use of AI models…
Maps are extensively used nowadays and are helpful in numerous location-based applications, including navigation, ride-sharing, fitness tracking, gaming, robotics, and augmented reality. As indoor localization technologies advance, the need arises for a scalable, federated mapping service that can manage indoor and private spaces while overcoming privacy, scalability, and compatibility issues. There is an increasing demand…
With rapid technological advances and increased internet use in business, cybersecurity has become a major global concern, especially in digital banking and payments. Digital systems offer efficiency and convenience but expose users to fraud risks, including identity theft and unauthorized access. Traditional methods struggle to keep up with complex fraud tactics, pushing financial institutions to…
Cloud hosting has emerged as a key component for companies and developers seeking to expand their operations, improve performance, and guarantee strong data security in the current digital era. Selecting the best cloud service provider might be difficult because there are an increasing number of them offering different solutions. Cloud hosting is crucial for delivering…
The field of AI-driven image generation and understanding has seen rapid progress, but significant challenges hinder the development of a seamless, unified approach. Currently, models that excel in image understanding often struggle to generate high-quality images and vice versa. The need to maintain separate architectures for each task not only increases complexity but also limits…
The need for efficient retrieval methods from documents that are rich in both visuals and text has been a persistent challenge for researchers and developers alike. Think about it: how often do you need to dig through slides, figures, or long PDFs that contain essential images intertwined with detailed textual explanations? Existing models that address…
Knowledge graphs are finding their way into financial practices, especially as powerful tools for competitor retrieval tasks. Graph’s ability to organize and analyze complex data effectively allows them to gain insights from competitive clues and reveal meaningful connections between companies. They thus substitute manual data collection and analysis methods with greater scalability and applicability scope.…