333.65 MB | 00:11:40 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
01 - Fine-tune your AI Hands-on practice with Hugging Face models (3.15 MB)
01 - How do LLMs generate text (11.37 MB)
02 - Overview of the Hugging Face platform (14.15 MB)
03 - Accessing GPUs (11.27 MB)
01 - What is tokenization (12.86 MB)
02 - Inspecting a tokenizer (16.02 MB)
03 - Encoding and decoding text (23.49 MB)
04 - Tokenizer chat template (5.89 MB)
01 - First generation with a local model (33.77 MB)
02 - Pipelines (7.76 MB)
03 - Introduction to generation parameters (16.37 MB)
04 - Temperature (32.2 MB)
05 - Top-k (21.17 MB)
06 - Top-p (20.58 MB)
07 - Other generation parameters (21.29 MB)
08 - Hugging Face Inference API (12.12 MB)
01 - Greedy search (11.4 MB)
02 - Multinomial sampling (7.43 MB)
03 - Beam search (9.02 MB)
04 - Beam search with multinomial (3.8 MB)
05 - Contrastive search (13.57 MB)
01 - Interesting technical resources (9.94 MB)
02 - NVIDIA NIM API (14.75 MB)
01 - How do LLMs generate text (11.37 MB)
02 - Overview of the Hugging Face platform (14.15 MB)
03 - Accessing GPUs (11.27 MB)
01 - What is tokenization (12.86 MB)
02 - Inspecting a tokenizer (16.02 MB)
03 - Encoding and decoding text (23.49 MB)
04 - Tokenizer chat template (5.89 MB)
01 - First generation with a local model (33.77 MB)
02 - Pipelines (7.76 MB)
03 - Introduction to generation parameters (16.37 MB)
04 - Temperature (32.2 MB)
05 - Top-k (21.17 MB)
06 - Top-p (20.58 MB)
07 - Other generation parameters (21.29 MB)
08 - Hugging Face Inference API (12.12 MB)
01 - Greedy search (11.4 MB)
02 - Multinomial sampling (7.43 MB)
03 - Beam search (9.02 MB)
04 - Beam search with multinomial (3.8 MB)
05 - Contrastive search (13.57 MB)
01 - Interesting technical resources (9.94 MB)
02 - NVIDIA NIM API (14.75 MB)
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