Corpus coverage

319,975 slides

319,974 are described (100%), so the treemap can explain the corpus instead of just counting files.

Total slides
319,975
Described
319,974
Pending
1

Slide type composition

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Showing 319,974 described slides — 100.0% of 319,975 rendered pages

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Slide collection

31,231-31,248 of 319,975

filter-aware
26
The slide uses a simple linguistic example to explain the concept of self-attention in AI models.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
27
This slide illustrates the core linear algebra operations (matrix multiplication) used in the Transformer architecture's attention mechanism.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
28
The slide explains the mathematical steps of the self-attention mechanism in transformer models.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
29
The slide uses a direct screenshot of a ChatGPT interface to illustrate the capabilities of transformer architecture.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
30
The diagram maps the standard Transformer architecture (Attention is All You Need) to a specific example involving actuarial text processing.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
31
The slide illustrates the reduction in required demonstrations as models move from fine-tuning to zero-shot learning.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
32
The slide uses a circular process diagram to represent a linear 4-step sequence.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
33
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
34
The slide shows a side-by-side comparison of a Jupyter notebook environment and the GitHub Copilot suggestion interface.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
35
The slide shows a two-column layout: left side details data loading steps, right side provides Python code for plotting histograms with average target overlays.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
36
The slide demonstrates a specific use case for LLMs in technical workflows.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
37
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
38
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
39
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
40
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
41
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
42
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
43
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit