Approaching Deep Learning through the Spectral Dynamics of Weights - Overview
Sherin Muckatira
Approaching Deep Learning through the Spectral Dynamics of Weights - Overview
10:15
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Overview
Sherin Muckatira
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Overview
13:59
Orca2: Overview
Sherin Muckatira
Orca2: Overview
9:12
Humpback - Self-Alignment with Instruction Backtranslation - Overview
Sherin Muckatira
Humpback - Self-Alignment with Instruction Backtranslation - Overview
14:32
VELMA: Verbal Embodiment of LLM Agents
Sherin Muckatira
VELMA: Verbal Embodiment of LLM Agents
12:08
Learning to Compress Prompts with Gist Tokens
Sherin Muckatira
Learning to Compress Prompts with Gist Tokens
15:19
Let’s Verify Step by Step - Overview
Sherin Muckatira
Let’s Verify Step by Step - Overview
10:48
LIMA: Less Is More for Alignment - Overview
Sherin Muckatira
LIMA: Less Is More for Alignment - Overview
12:19
TinyStories - Overview
Sherin Muckatira
TinyStories - Overview
13:11
Distilling Step-by-Step - Overview
Sherin Muckatira
Distilling Step-by-Step - Overview
9:25
Vision Transformer ViT - Overview
Sherin Muckatira
Vision Transformer ViT - Overview
8:30
Larger Language Models do In-Context Learning Differently - Overview
Sherin Muckatira
Larger Language Models do In-Context Learning Differently - Overview
13:22
Toolformer - Overview
Sherin Muckatira
Toolformer - Overview
19:00
BERT - Overview
Sherin Muckatira
BERT - Overview
9:21
Zero-Shot Chain of Thought Prompting - Overview
Sherin Muckatira
Zero-Shot Chain of Thought Prompting - Overview
14:35
Multitask Prompted Training Enables Zero-Shot Task Generalization - Overview
Sherin Muckatira
Multitask Prompted Training Enables Zero-Shot Task Generalization - Overview
15:13
Explaining patterns in data with language models via interpretable autoprompting - Overview
Sherin Muckatira
Explaining patterns in data with language models via interpretable autoprompting - Overview
12:21
5 min tutorial on prompting GPT-3
Sherin Muckatira
5 min tutorial on prompting GPT-3
5:38
Contrastive Learning for Prompt-based few shot language learners - Overview
Sherin Muckatira
Contrastive Learning for Prompt-based few shot language learners - Overview
9:05
PromptGen: Automatically generate prompts using generative models - Overview
Sherin Muckatira
PromptGen: Automatically generate prompts using generative models - Overview
10:45
On Transferability of Prompt Tuning -Overview
Sherin Muckatira
On Transferability of Prompt Tuning -Overview
21:57
Chain of Thought Prompting - Overview
Sherin Muckatira
Chain of Thought Prompting - Overview
18:23
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts - Overview
Sherin Muckatira
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts - Overview
18:52
Prefix-Tuning: Optimizing Continuous Prompts for Generation - Overview
Sherin Muckatira
Prefix-Tuning: Optimizing Continuous Prompts for Generation - Overview
16:17