Deep Learning Expert people

۱۵ مقاله‌ای که هر مهندس هوش مصنوعی باید مطالعه کند. 1. Attention Is All You Need (Transformers) 2. LoRA: Low-Rank Adaptation of Large Language Models 3. PEFT (Parameter-Efficient Fine-Tuning) Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning 4. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Vision Transformer) 5. Auto-Encoding Variational Bayes (VAE) 6. Generative Adversarial Networks (GANs) 7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 8. High-Resolution Image Synthesis with Latent Diffusion Models 9. Retrieval-Augmented Generation (RAG) 10. Language Models are Few-Shot Learners (GPT-3) 11. Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity 12. Learning to summarize from human feedback (RLHF) 13. LLaMA: Open and Efficient Foundation Language Models 14. RoFormer: Enhanced Transformer with Rotary Position Embedding 15. InstructGPT: Training language models to follow instructions with human feedback مطالعه مقاله هایی که دانش پایه‌ای شما را از #الگوریتمها ی #هوش_مصنوعی افزایش میدهد. #مقاله #منابع #پردازش_زبان_طبیعی #مدل_زبانی #یادگیری_تقویتی ☑️ @AI_DeepMind ✅ @AI_Person