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35:00
YouTube
Discover AI
The inner workings of LLMs explained - VISUALIZE the self-attention mechanism
HOW do LLMs (Large Language Models) work, and WHY do they work? Models like ChatGPT or GPT-4. Can we understand them? Easy introduction to: 1. How does the self-attention mechanism work inside of LLMs? 2. What makes all those LLM different, their weights, their pre-trained datasets or their architectural design structure? 3. What makes LLM ...
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New short course on LLMOps! LLMOps (large language model operations) is a rapidly developing field that takes ideas from MLOps (machine learning operations) and specializes them to building and deploying LLM-based applications. In this course, taught by Google Cloud's Erwin Huizenga, you'll learn to use automation to make building, tuning and deploying an LLM-based application less manual and more efficient. You'll learn how to: - Apply supervised fine-tuning to tune an LLM to a specific task -
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GPT-4 leaves tomorrow. A model that helped shape how we think about large language models from code generation to complex reasoning, GPT-4 consistently pushed boundaries in real-world applications. Its impact will be felt long after it’s gone. Farewell, GPT-4. 👋🧠 #analyticsvidhya #datascience #machinelearning #deeplearning #python3 #datascientist #analyst #scientist #developers #datascience #computerscience #free #courses #datascienceinternship #learndatascience #learndataanalytics #cheatsheet
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