Can we solve inequality in South Africa? Interview with Dieter von Fintel (TGIF 2024)
59:15
Can we solve inequality in South Africa? Interview with Dieter von Fintel (TGIF 2024)
Reinforcement learning from human feedback (NLP817 12.3)
14:41
Reinforcement learning from human feedback (NLP817 12.3)
The difference between GPT and ChatGPT (NLP817 12.2)
13:10
The difference between GPT and ChatGPT (NLP817 12.2)
Large language model training and inference (NLP817 12.1)
13:56
Large language model training and inference (NLP817 12.1)
Extensions of RNNs (NLP817 9.7)
7:41
Extensions of RNNs (NLP817 9.7)
Solutions to exploding and vanishing gradients (in RNNs) (NLP817 9.6)
10:17
Solutions to exploding and vanishing gradients (in RNNs) (NLP817 9.6)
Vanishing and exploding gradients in RNNs (NLP817 9.5)
12:59
Vanishing and exploding gradients in RNNs (NLP817 9.5)
Backpropagation through time (NLP817 9.4)
24:41
Backpropagation through time (NLP817 9.4)
RNN definition and computational graph (NLP817 9.3)
3:22
RNN definition and computational graph (NLP817 9.3)
RNN language model loss function (NLP817 9.2)
8:31
RNN language model loss function (NLP817 9.2)
From feedforward to recurrent neural networks (NLP817 9.1)
15:04
From feedforward to recurrent neural networks (NLP817 9.1)
Embedding layers in neural networks
10:19
Embedding layers in neural networks
Git workflow extras (including merge conflicts)
16:24
Git workflow extras (including merge conflicts)
A Git workflow
23:26
A Git workflow
Evaluating word embeddings (NLP817 7.12)
21:11
Evaluating word embeddings (NLP817 7.12)
GloVe word embeddings (NLP817 7.11)
11:58
GloVe word embeddings (NLP817 7.11)
Skip-gram with negative sampling (NLP817 7.10)
15:47
Skip-gram with negative sampling (NLP817 7.10)
Continuous bag-of-words (CBOW) (NLP817 7.9)
5:35
Continuous bag-of-words (CBOW) (NLP817 7.9)
Skip-gram example (NLP817 7.8)
2:30
Skip-gram example (NLP817 7.8)
Skip-gram as a neural network (NLP817 7.7)
9:47
Skip-gram as a neural network (NLP817 7.7)
Skip-gram optimisation (NLP817 7.6)
9:49
Skip-gram optimisation (NLP817 7.6)
Skip-gram model structure (NLP817 7.5)
7:32
Skip-gram model structure (NLP817 7.5)
Skip-gram loss function (NLP817 7.4)
7:59
Skip-gram loss function (NLP817 7.4)
Skip-gram introduction (NLP817 7.3)
7:28
Skip-gram introduction (NLP817 7.3)
One-hot word embeddings (NLP817 7.2)
6:19
One-hot word embeddings (NLP817 7.2)
Why word embeddings? (NLP817 7.1)
8:57
Why word embeddings? (NLP817 7.1)
What can large spoken language models tell us about speech? (IndabaX South Africa 2023)
24:00
What can large spoken language models tell us about speech? (IndabaX South Africa 2023)
Hidden Markov models in practice (NLP817 5.13)
4:12
Hidden Markov models in practice (NLP817 5.13)
The log-sum-exp trick (NLP817 5.12)
8:33
The log-sum-exp trick (NLP817 5.12)
Why expectation maximisation works (NLP817 5.11)
12:15
Why expectation maximisation works (NLP817 5.11)