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#Encoder-Decoder Models

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Stanford University

Shaping the Future of AI from the History of Transformer Architectures - Stanford CS25

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Explore the evolution of Transformer architectures and AI development with OpenAI researcher Hyung Won Chung, focusing on historical motivations and future projections in the field.
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1 Lesons
37 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2019 - Attention

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Explore attention mechanisms in neural networks for NLP, covering basic concepts, improvements, specialized varieties, and a case study on the Transformer model.
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18 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2017 - Conditioned Generation

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Explore encoder-decoder models, conditional generation, ensembling, and evaluation techniques for neural networks in natural language processing. Gain insights into advanced NLP concepts and practical applications.
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16 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Graham Neubig

CMU Advanced NLP 2021 - Conditional Generation

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Learn advanced NLP techniques for conditional generation, including encoder-decoder models, search algorithms, ensembling, and evaluation methods. Explore applications in translation, summarization, and dialogue systems.
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17 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2020: Conditioned Generation

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Learn about encoder-decoder models, conditional generation, search techniques, and evaluation methods for neural networks in natural language processing.
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15 Lesons
1 hour 7 minutes
On-Demand
Free-Video
CodeEmporium

Transformers - From Zero to Hero

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Comprehensive deep dive into transformer architecture, covering key concepts from self-attention to tokenization. Includes hands-on coding for both encoder and decoder implementations.
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11 Lesons
3 hours 35 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2021 - Conditioned Generation

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Explore encoder-decoder models, conditional generation, search techniques, ensembling, evaluation methods, and various data types for conditioning in neural network-based natural language processing.
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27 Lesons
45 minutes
On-Demand
Free-Video
Abhishek Thakur

Introduction to T5 for Sentiment Span Extraction

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Explore T5's text-to-text approach for NLP tasks, focusing on sentiment span extraction in tweets. Learn about multi-task learning and its potential impact on industrial NLP applications.
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18 Lesons
1 hour 1 minute
On-Demand
Free-Video
Alexander Amini

MIT 6.S191 - Automatic Speech Recognition

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Explore automatic speech recognition with Rev.com experts, covering data selection, speech input processing, and advanced ASR techniques like attention-based models and language modeling.
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15 Lesons
42 minutes
On-Demand
Free-Video
NDC Conferences

Lost and Found in Translation - An Intro to ML Assisted Decompilation and Deobfuscation

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Explore ML-assisted decompilation and deobfuscation, covering large language models, neural machine translation, and their applications in reverse engineering and security auditing.
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25 Lesons
54 minutes
On-Demand
Free-Video