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โ Introduction to Large Language Models: An introductory level microlearning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance.
Link: https://lnkd.in/g4wdBKHu
โ Introduction to Responsible AI: An introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in its products. It also introduces Google's 7 AI principles.
Link: https://lnkd.in/gXCNePhA
โ Introduction to Image Generation: This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
Link: https://lnkd.in/gjjEGxcV
โ Encoder-Decoder Architecture: This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering.
Link: https://lnkd.in/gesTXkgF
โ Attention Mechanism: This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence.
Link: https://lnkd.in/g2evVK5Q
โ Transformer Models and BERT Model: This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.
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lnkd.in
LinkedIn
This link will take you to a page thatโs not on LinkedIn
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Exciting news! Microsoft is now providing FREE courses in the following cutting-edge areas ๐
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โจ Artificial Intelligence (AI)
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โ Machine Learning: A great course on classical machine learning, using Scikit-learn!
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microsoft.github.io
AI for Beginners
Description
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