Measuring Gen AI responses – Challenges Generative AI, with its ability to create novel content, faces unique challenges when it comes to measuring its performance. In this post, we’ll explore key unresolved issues and strategies for evaluating generative AI systems. 1. Lack of Ground Truth Establishing a definitive “ground truth” for evaluating generative AI output can […]
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Unleashing the Power of Large Language Models In recent years, Large Language Models (LLMs) have emerged as game-changers in natural language processing. These models, pretrained on vast amounts of text data, exhibit remarkable capabilities, from text generation to sentiment analysis. In this article, we delve into various LLM architectures and sample some applications they enable.
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Generative AI is not the result of a single breakthrough but rather a journey enabled by a series of significant advancements. From the early development of deep learning and transfer learning to the transformative impact of the transformer architecture and the evolution of large language models like GPT, each milestone has played a crucial role
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Non-Generative AI, or traditional AI, focuses on analyzing and interpreting existing data rather than creating new content. These models excel at recognizing patterns, making predictions, and classifying data. Common applications include image recognition, natural language processing (NLP), recommendation systems, and fraud detection, using models like Decision Trees, SVMs, and CNNs.
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Overview In this lab, you will use Azure Machine Learning to train, evaluate, and publish a Machine Learning model. This lab intends to be a gentle, guided introduction to core ML concepts. After completing this lab, you will have enough familiarity with the platform and basic ML concepts to continue exploring on your own. I
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Overview In this lab, you will use Flowise AI which is built on langchain to create some applications. This lab intends to be a gentle, guided introduction to the possibilities presented by AI. After completing this lab, you will have enough familiarity with the tools used and basic concepts to continue exploring on your own. I plan
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