Going Rogue: The Risks of Deploying LLM Applications and How to Solve Them Introduction Large Language Models (LLMs) offer incredible potential for building advanced conversational applications and text-processing systems. They have the power to transform ways of working and significantly reduce the time spent on tasks that were previously out of reach. However, deploying LLMs […]

Data Clustering: What It Is and Its Applications Introduction Data clustering is a foundational technique in data analysis and machine learning, allowing us to find hidden patterns and group similar data points together without prior labeling. This method is pivotal in transforming unstructured data into actionable insights by identifying clusters or groups within the data

Evaluate LLM models using semantic similarity Introduction The landscape of large language models (LLMs) is rapidly evolving, offering numerous opportunities to enhance the performance and cost-efficiency of AI applications. However, the variety of available models also complicates the task of selecting the most suitable one for specific business needs. Various evaluation methods are available, including