Category: Uncategorized

Microplastics cause clouds to form in places where they wouldn’t otherwise, which is likely to have knock-on effects on the weather and climate. Read more

Researchers are exploring new ways that quantum computers will be able to reveal the secrets of complex quantum systems. Read more

The deployment of AI chatbots has long been a significant challenge for organizations, particularly for those without the necessary technical expertise or infrastructure to support advanced AI models. Developing AI chatbots requires training complex models, managing cloud resources, optimizing inference, and maintaining compatibility across platforms. As a result, many businesses find themselves either compromising on… Read more

Oral phenylephrine was shown to be ineffective for treating nasal congestion over a year go. This week, the FDA took the first steps toward removing it from pharmacy shelves. Read more

Artificial Intelligence (AI) continues to evolve rapidly, but with that evolution comes a host of technical challenges that need to be overcome for the technology to truly flourish. One of the most pressing challenges today lies in inference performance. Large language models (LLMs), such as those used in GPT-based applications, demand a high volume of… Read more

Precise control over language models is crucial for developers and data scientists. Large language models like Claude from Anthropic offer remarkable opportunities, but managing tokens effectively is a key challenge. Anthropic’s Token Counting API addresses this by providing detailed insights into token usage, enhancing efficiency and control over language model interactions. Why Token Counting Matters… Read more

Retrieval-Augmented Generation (RAG) has significantly enhanced the capabilities of large language models (LLMs) by incorporating external knowledge to provide more contextually relevant and accurate responses. However, this technique comes with a major downside: it often leads to high computational and memory costs. These challenges are primarily due to the injection of long sequences of external… Read more

Large Language Models find it challenging to understand Mathematical reasoning. Mathematical reasoning involves various cognitive tasks like understanding and manipulating mathematical concepts, solving problems, and making logical deductions. Existing methods in this domain have been established to enhance the mathematical ability of LLMs. However, few recognize the value of state transition for LLM reasoning, which… Read more

Large language models (LLMs) have become foundational in natural language processing, especially in applications where understanding complex text data is critical. These models require vast amounts of computational resources due to their size, posing latency, memory usage, and power consumption challenges. To make LLMs more accessible for scalable applications, researchers have been developing techniques to… Read more

Delays or errors in diagnosing pneumoperitoneum, with air outside the intestines within the peritoneal cavity, can severely impact patient survival and health outcomes. In adults, most cases result from a perforated viscus, with up to 90% needing surgical intervention. While CT scans are the preferred diagnostic tool for their high accuracy, interpretation delays are common… Read more