633.6 MB | 9min 0s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Understanding Large Language Models In Hugging Face.mp4 (10.68 MB)
2 Managing Compute Requirements For LLMs.mp4 (7.61 MB)
3 What Is Hugging Face.mp4 (28.17 MB)
4 Accessing Pre-Trained Models From Hugging Face Hands-On Example.mp4 (45.93 MB)
2 Tokenizer Fundamentals.mp4 (36.45 MB)
3 Working With Models In Transformers.mp4 (61.33 MB)
4 Creating Our Own Dataset In Hugging Face.mp4 (39.22 MB)
5 Creating Our Own Tokenizer In Hugging Face.mp4 (15.42 MB)
1 Instruction Fine-tuning & PEFT.mp4 (18.92 MB)
2 Full Fine-tuning BART For Summarization.mp4 (64.09 MB)
3 Training Our Summarization Model Using PEFT.mp4 (28.96 MB)
4 Training GPT-2 From Scratch In Hugging Face.mp4 (68.17 MB)
1 What Is Quantization.mp4 (13.55 MB)
2 Example of Reducing Precision.mp4 (8.24 MB)
3 4-bit Quantization with 7B Parameter Model.mp4 (79.9 MB)
1 What are Multimodal LLMs.mp4 (4.48 MB)
2 8B Parameter Image Captioning Model.mp4 (43.86 MB)
3 Document Question Answering.mp4 (36.64 MB)
4 Bonus Lecture Free AI Research Newsletter Offering.mp4 (17.07 MB)]
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