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Explore the Synthesizer model and its impact on Transformers in this concise study by Yannic Kilcher. Learn about attention mechanisms, synthetic attention, and their applications in language modeling and translation.
Explore GPT-3's capabilities in NLP tasks with Yannic Kilcher's 1-2 hour material, covering language models, transformer models, fine-tuning, and experimental results.
Explore object detection in images using a single Transformer stacked on a CNN in this concise study by Yannic Kilcher. Learn about architecture, problem formulation, and results in under an hour.
Explore BERT model pruning and the Lottery Ticket Hypothesis with Yannic Kilcher. Learn how even "bad" subnetworks can be fine-tuned for good accuracy in under an hour.
Explore meta-learning with implicit gradients in under an hour with Yannic Kilcher. Understand the computational benefits of iMAML and its application in few-shot image recognition.
Learn to build a sentiment classifier using PyTorch and Huggingface's NLP library in a 1-2 hour tutorial by Yannic Kilcher.
Explore the world of self-supervised learning with Yannic Kilcher's under 1-hour material. Dive into intrinsic rewards, planning in latent space, and maximizing information gain.
Explore Meta AI's LLaMA language models with Yannic Kilcher in under an hour. Learn about training data, hyperparameters, architecture modifications, and more.
Join Yannic Kilcher in contributing to OpenAssistant, a major open alternative to ChatGPT, with less than an hour of engaging material.
Explore AI's role in cooperation games with Yannic Kilcher's 1-2 hour material on Cicero, an AI agent developed by Meta AI that can negotiate, persuade, and cooperate in the game Diplomacy.
Explore the legal loopholes in AI model licenses with Yannic Kilcher in under an hour. Understand the dilemmas of open-source software and the implications of responsible AI licenses.
Explore reinforcement learning in shifting environments with Yannic Kilcher's under 1-hour study of Recurrent Independent Mechanisms. Gain insights into fast and slow learning procedures for superior results and stability.
Explore Facebook AI's Expire-Span, a Transformer XL variant that assigns expiration dates to signals, managing memory and compute requirements. Offered by Yannic Kilcher.
Explore FNet architecture and Fourier Transforms in this brief, insightful study by Yannic Kilcher. Learn how to speed up Transformer encoders and reduce compute requirements.
Explore how DDPMs can outperform GANs in image generation with Yannic Kilcher's under 1-hour study of a machine learning research paper.
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