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 […]
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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
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From Pilot to Scale: Ways to Continuously Optimize Your Business AI Chatbots LLM Routing, Caching, and Data Clustering & Visualization Introduction As businesses increasingly recognize the potential of generative AI, many have launched custom AI chatbots to enhance team productivity and customer experience, aiming to gain a competitive edge. These chatbots are transforming various sectors,
5 Key Strategies to Optimize Your LLM Costs Balancing cost with performance Introduction If you’re developing or have already launched LLM-backed AI applications or agents, you’re undoubtedly aware of the substantial costs associated with deploying and operating LLM applications. Managing these costs effectively is vital for scaling your AI initiatives. Central to LLM cost management
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