- [d]Can ChatGPT Truly Understand What We're Saying? A Powerful Comparison with BERT" - day 69 - INGOAMPT https://ingoampt.com/can-chatgpt-truly-understand-what-were-saying-a-powerful-comparison-with-bert-day-69/ 2 comments deeplearning
Linking pages
- Breaking Down Diffusion Models in Deep Learning – Day 75 - INGOAMPT https://ingoampt.com/breaking-down-diffusion-models-in-deep-learning-day-75/#advancements-latent-diffusion-models-and-beyond 0 comments
- Reinforcement Learning: An Evolution from Games to Real-World Impact - day 77 - INGOAMPT http://ingoampt.com/reinforcement-learning-an-evolution-from-games-to-real-world-impact-day-77/#google_vignette 0 comments
- New on 2024 - 2025 are: MLX so lets compare Custom Deep Learning Models for iOS with MLX (on Apple Silicon) vs. PyTorch - INGOAMPT https://ingoampt.com/new-on-2024-2025-are-mlx-and-transofermers-so-lets-compare-custom-deep-learning-models-for-ios-with-mlx-on-apple-silicon-vs-pytorch-day-2/ 0 comments
Linked pages
- Introducing ChatGPT https://openai.com/blog/chatgpt/ 296 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-transformer/ 36 comments
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 25 comments
- The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-bert/ 20 comments
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