BentoML SageMaker deployment
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BentoML SageMaker deployment
29:21
Retrieval augmented generation with OpenSearch and reranking
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Retrieval augmented generation with OpenSearch and reranking
41:10
Named entity recognition (NER) model evaluation
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Named entity recognition (NER) model evaluation
41:27
Asynchronous requests and rate limiting (HTTPX and asyncio.Semaphore)
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Asynchronous requests and rate limiting (HTTPX and asyncio.Semaphore)
11:42
Few-shot text classification with prompts
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Few-shot text classification with prompts
26:35
OpenAI function calling
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OpenAI function calling
38:14
Deploying machine learning models on Kubernetes
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Deploying machine learning models on Kubernetes
26:32
Haiku basics (neural network library from DeepMind)
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Haiku basics (neural network library from DeepMind)
39:06
Product quantization in Faiss and from scratch
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Product quantization in Faiss and from scratch
24:39
GPT in PyTorch
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GPT in PyTorch
41:10
The Lottery Ticket Hypothesis and pruning in PyTorch
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The Lottery Ticket Hypothesis and pruning in PyTorch
38:07
The Sensory Neuron as a Transformer in PyTorch
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The Sensory Neuron as a Transformer in PyTorch
50:34
Integer embeddings in PyTorch
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Integer embeddings in PyTorch
40:32
PonderNet in PyTorch
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PonderNet in PyTorch
40:38
Mixup in PyTorch
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Mixup in PyTorch
24:09
DINO in PyTorch
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DINO in PyTorch
44:34
MLP-Mixer in Flax and PyTorch
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MLP-Mixer in Flax and PyTorch
32:13
Differentiable augmentation for GANs (using Kornia)
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Differentiable augmentation for GANs (using Kornia)
30:08
Growing neural cellular automata in PyTorch
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Growing neural cellular automata in PyTorch
26:28
SIREN in PyTorch
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SIREN in PyTorch
29:22
Vision Transformer in PyTorch
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Vision Transformer in PyTorch
29:52
torch.nn.Embedding explained (+ Character-level language model)
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torch.nn.Embedding explained (+ Character-level language model)
20:47
Gradient with respect to input in PyTorch (FGSM attack + Integrated Gradients)
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Gradient with respect to input in PyTorch (FGSM attack + Integrated Gradients)
19:59
NumPy equality testing: multiple ways to compare arrays
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NumPy equality testing: multiple ways to compare arrays
9:53
Custom optimizer in PyTorch
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Custom optimizer in PyTorch
18:00
Mocking neural networks: unit testing in deep learning
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Mocking neural networks: unit testing in deep learning
16:01
Visualizing activations with forward hooks (PyTorch)
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Visualizing activations with forward hooks (PyTorch)
18:58