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Explore transfer learning in NLP, covering model efficiency, generalization, fine-tuning, and inductive biases. Gain insights into current trends and future directions from HuggingFace's science lead.
Explore advanced diffusion techniques with Stable Diffusion co-creator Patrick Esser, covering compositional structures, texture generation, and innovative training methods for next-gen models.
Explore the evolution of generative image models with Stable Diffusion co-creator Robin Rombach, covering GANs, Transformers, and latent Diffusion models for high-resolution image synthesis and creative applications.
Explore advanced Stable Diffusion techniques like face variation and super resolution with Lambda Labs' Justin Pinkey in this technical deep dive on expanding AI image generation capabilities.
Learn to train and deploy efficient few-shot language models using SetFit, knowledge distillation, and quantization techniques. Explore accelerated inference and deployment strategies with Hugging Face and Intel AI.
Explore Reinforcement Learning from Human Feedback, its foundations, and applications in advanced AI like ChatGPT. Gain insights into NLP, RL basics, and open questions in this emerging field.
Explore Reinforcement Learning from Human Feedback, its role in ChatGPT, and key concepts in NLP and RL. Gain insights into RLHF's technical aspects and open research areas.
Explore XLS-R, a groundbreaking cross-lingual speech model trained on 128 languages. Learn about its impressive performance in speech translation, recognition, and language identification tasks.
Explore pretraining language models and CodeParrot, a code-writing AI. Learn data transformation, batching, evaluation, and tackle coding challenges in this hands-on workshop.
Explore SageMaker and Hugging Face integration for efficient NLP model training, deployment, and optimization. Learn preprocessing, hyperparameter tuning, and model compression techniques.
Learn to rapidly create machine learning applications using Gradio, exploring its modalities and desktop interface for easy model demonstration and deployment.
Learn to build and train custom tokenizers for Transformers, exploring their importance, implementation, and best practices in Natural Language Processing.
Explore the Hugging Face Hub for collaborative ML projects, including model repositories, datasets, and tools with simple APIs for accessible machine learning.
Learn to train and fine-tune Transformer models using the Trainer API, covering tokenization, class balance, and practical implementation techniques.
Explore NLP workflows using Keras, covering text vectorization, various modeling techniques, and practical implementations for efficient natural language processing tasks.
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