Все публикации

0:57:11

LLMs | Quantization, Pruning & Distillation | Lec 14.2

1:03:11

LLMs | Parameter Efficient Fine-Tuning (PEFT) | Lec 14.1

0:41:28

LLMs | Alignment of Language Models: Contrastive Learning | Lec 13.3

0:50:09

LLMs | Alignment of Language Models: Reward Maximization-II | Lec 13.2

0:48:14

LLMs | Alignment of Language Models: Reward Maximization-I | Lec 13.1

0:34:36

LLMs | Instruction Tuning | Lec 12.2

0:47:11

LLMs | Pre-training of Causal LMs and In-context Learning | Lec 12.1

1:29:45

LLMs | Scaling Laws | Lec 11

1:10:53

LLMs | Mixture of Experts(MoE) - II | Lec 10.2

0:35:01

LLMs | Mixture of Experts(MoE) - I | Lec 10.1

1:14:51

LLMs | Tokenization Strategies | Lec 9

0:47:41

LLMs | Advanced Attention Mechanisms-II | Lec 8.2

1:01:44

LLMs | Advanced Attention Mechanisms-I | Lec 8.1

0:48:49

LLMs | Pre-training Strategies | ELMo & BERT | Lec 7

1:27:44

LLMs | Intro to Transformer: Positional Encoding and Layer Normalization | Lec 6.2

1:02:01

LLMs | Introduction to Transformer: Self & Multi-Head Attention | Lec 6.1

0:44:29

LLMs | Neural Language Models: Seq2Seq and Attention | Lec 5.3

0:37:52

LLMs | Neural Language Models: LSTM and GRU | Lec 5.2

0:40:37

LLMs | Neural Language Models: RNNs | Lec 5.1

0:11:45

ACL 2024 | Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks

0:11:02

EACL 2024 | Probing Critical Learning Dynamics of PLMs | Hate Speech Detection

0:11:21

EACL 2024 | Tox-BART: Leveraging Toxicity Attributes for Explanation Generation | Hate Speech

0:10:15

ACL 2024 | MemeMQA: Multimodal Question Answering for Memes | Rationale-Based Inferencing

0:29:11

LLMs | Word Representation: GloVe | Lec 4.2