5 posts about Vectors by 4 contributors.
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Unlock the power of LLMs! This practical guide demystifies tokens, vectors, embeddings, and weights, revealing how they work together in RAG/agent applications. Learn to optimize your LLM systems for speed, cost-effectiveness, and reliability through better token management, strategic retrieval, and clear prompt contracts. Improve your LLM performance today!
In this brief video I walk you through the components of retrieval augmented generation (RAG). I talk about embeddings and vectors and even show you how they are created. Finally, I'll show you a chatbot in action that is interacting with live data in an Azure SQL Database. This video will showcase the direction Microsoft is taking OpenAI and that Azure SQL Database is a CoPilot in this journey!
Support Vector Machines (SVM) is a powerful supervised machine learning algorithm for classification and regression tasks. It finds a hyperplane that separates data points belonging to different classes, making it effective for complex problems.
In this guide, we'll explore the various data structures in the R language. Provided with syntax examples and illustrate how each data structure is used in practical scenarios in detail.
In this comprehensive guide, we'll look into the vectors in R program. We'll start by defining what vectors are, explore the various types of vectors, examine the syntax for creating and manipulating vectors, and provide illustrative examples to solidify your understanding.
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