Index of /files/nvidia-pdf-slides/generative-ai/
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1.1-Introduction-to-GenAI.pdf 28-Feb-2025 01:10 5215371
1.2-Historical-and-Future-Perspectives-of-GenAI..> 28-Feb-2025 01:10 4545490
2.1-Natural-Language-Processing-and-Language-Mo..> 28-Feb-2025 01:08 1350570
2.2-Tokens-and-Tokenization.pdf 28-Feb-2025 01:08 1170956
2.3-Word-Embeddings.pdf 28-Feb-2025 01:08 2471771
2.3-Word-Embeddings.txt 28-Feb-2025 15:43 12074
3.1-Language-Models-and-Attention.pdf 28-Feb-2025 01:13 1242972
3.2-The-Transformer-Architecture.pdf 28-Feb-2025 01:13 2208046
3.3-Autoregressive-Training-Transformer-LLMs.pdf 28-Feb-2025 01:13 2667129
4.1-LLM-Architecture-Variants.pdf 28-Feb-2025 01:20 3114375
4.2-Scaling-Laws-in-Training-LLMs.pdf 28-Feb-2025 01:20 1916701
4.3-Training-Data-for-Larger-LLMs.pdf 28-Feb-2025 01:20 2031161
5.1-Introduction-to-Multimodal-Models.pdf 28-Feb-2025 01:21 3564093
5.2-Vision-Transformer-and-CLIP.pdf 28-Feb-2025 01:21 3316451
5.3-PerceiverIO-and-more-generalized-Multimodal..> 28-Feb-2025 01:21 3913031
6.1-Image-Generation-and-GANs.pdf 28-Feb-2025 01:23 6773491
6.2-UNets-and-Diffusion.pdf 28-Feb-2025 01:23 5098097
6.3-CLIP-and-Latent-Diffusion.pdf 28-Feb-2025 01:23 4010764
7.1-Pre-training-continued-pre-training-and-tas..> 28-Feb-2025 01:31 4693276
7.2-Chat-preparation-RL-with-Human-Feedback.pdf 28-Feb-2025 01:31 3897384
7.3-Parameter-Efficient-Fine-Tuning-Methods.pdf 28-Feb-2025 01:31 2156580
8.1-LLM-Components.pdf 28-Feb-2025 01:35 4165740
8.2-LLM-Compound-Systems.pdf 28-Feb-2025 01:35 4041005
8.3-LLM-Agents.pdf 28-Feb-2025 01:35 3806996
9.1-Distributed-Training-with-Data-and-Model-Pa..> 28-Feb-2025 01:39 2055675
9.2-Challenges-and-Libraries-for-Distributed-Tr..> 28-Feb-2025 01:39 2605549
9.3-Scaling-Inference-and-Deployment.pdf 28-Feb-2025 01:39 2482722