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slides · global inventory

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Global slide inventory for the active corpus filters, with each row opening the slide detail view.

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Corpus coverage

319,975 slides

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

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319,975
Described
319,974
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Slide type

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

+Context & problem43,76713.7% · 6,592 docs+Data & charts72,62022.7% · 8,666 docs+Meta & navigation45,93614.4% · 9,739 docs+Recommend & act67,04121.0% · 9,324 docs+Cases & evidence31,2569.8% · 6,067 docs+Frameworks2,1230.7% · 1,232 docs+Appendix35,68211.2% · 6,614 docs+Other21,5496.7% · 5,566 docs

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Slide collection

53,881-53,940 of 319,975

filter-aware
13
The slide uses a line chart to show the percentage of PyTorch mentions across various AI conferences over time.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Tale Two Worlds1 hit
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Data source: Papers With Code. The chart shows a clear shift from other frameworks to PyTorch between 2017 and 2020.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Tale Two Worlds1 hit
15
The chart highlights the exponential jump in model size, particularly with GPT-3.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
16
The charts demonstrate power-law relationships between model performance (test loss) and three key scaling factors: compute, dataset size, and parameter count.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
17
The slide uses a mix of bulleted data points and narrative paragraphs to illustrate the cost barrier to entry for AI model training.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The chart displays three metrics across three model sizes (37.5B, 150B, 600B weights).2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
19
The table highlights the diminishing returns of scaling ML models, specifically noting that reducing ImageNet error to 1% would cost over $100 quintillion.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
20
Charts illustrate scaling laws in machine learning, specifically the relationship between model size (parameters), data (tokens), and compute budget.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The chart shows a positive correlation between model size and translation performance across varying levels of training data availability.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
22
The slide uses two charts: a log-scale scatter plot for compute eras and a linear scatter plot for training efficiency.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
23
The slide uses a combination of a data table, a line chart showing F1 score vs data points, and a bar chart showing intent accuracy across low/high data regimes.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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Includes screenshots of Hugging Face model interface and a Twitter post by Sharif Shameem demonstrating GPT-3 code generation.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide highlights the capability of TransCoder to translate code without expert knowledge, achieving high success rates in unit tests.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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Includes a visual representation of the DrRepair process flow and a code snippet example.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
27
The slide uses two different chart types (bar-vertical and bar-horizontal) to illustrate the same trend of AI models surpassing human performance.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
28
The slide uses a grouped bar chart to compare performance across three categories (Commonsense, Linguistics, Knowledge) for four model sizes (Small, Medium, Large, X-Large).2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
29
The slide uses a visual example of image completion to demonstrate the transformer's ability to process non-textual data.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
30
The 2020 data point includes an annualized projection indicated by a dashed box.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
31
The slide uses a visual comparison to show how techniques from computer vision are being applied to biological research.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
32
Includes a chord diagram of biological interactions and two line/contour plots showing drug perturbation effects.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide uses a combination of medical imaging segmentation and a predictive line chart to demonstrate early intervention capabilities.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
34
Includes ROC curves comparing AI performance against human readers (radiologists).2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
35
Features a photo of Judea Pearl, a pioneer in causal inference.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
36
The charts compare algorithm accuracy vs doctor accuracy for associative (top) and counterfactual (bottom) models.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
37
The slide contrasts standard Shapley values (which assume feature independence) with ASV, demonstrating the difference on an income classifier model.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
38
The slide uses a combination of box plots for distribution visualization and a summary table for performance metrics.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
39
The slide uses a chemical reaction diagram to illustrate the synthesis process and a bar chart to show the progression of model accuracy.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
40
The slide contrasts traditional molecular vectorization with GNN-based graph representation.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
41
The slide uses a funnel diagram to contrast the scale of AI-driven screening vs conventional screening.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
42
The slide features a technical diagram of the PNA architecture and a box plot comparing its performance against MPNN, GAT, GCN, and GIN models.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
43
The slide compares GNN-based hit rates (72%, 33%, 16%) against a ~1% industry standard, supported by a process diagram and stacked bar charts.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
44
The chart shows performance (mean squared error) of different models (UniRep fusion, baseline, Doc2Vec, RGN) across various protein tasks.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
45
Includes logos for ZOE, King's College London, and MGH.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
46
The slide highlights the 'COVID Moonshot' initiative, showcasing the speed of AI-driven molecule design compared to traditional methods.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
47
The slide explains a technical process involving pose estimation and image-to-image translation to create realistic sports video.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
48
The slide highlights the shift from traditional CNN-based architectures like Faster R-CNN to transformer-based approaches in computer vision.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
49
The slide contrasts traditional visible-only depth/ground prediction with the new 'Footprints' method that infers hidden geometry.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
50
The slide illustrates a technical process flow for AI training data generation.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
51
The slide describes a technical process involving CNNs and geometric cues for image processing.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
52
The slide showcases performance metrics across 8 different tasks from the DeepMind Control Suite, comparing Dreamer against other agents.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
53
The slide features a visual demonstration of future state prediction samples (wait, nudge, turn right, go straight) using semantic segmentation and optical flow-like visualizations.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
54
The slide explains the LoRRA architecture and provides two examples of its application.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
55
The slide showcases the capabilities of SinGAN across five tasks: Paint to image, Editing, Harmonization, Super-resolution, and Animation.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
56
Charts show performance trade-offs between accuracy (COCO AP) and efficiency (parameters, latency).2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
57
The chart shows the progression of algorithm complexity and accuracy, starting from an empty program to a complex evolved algorithm.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
58
The chart uses a dual-axis representation (bar for total count, line for percentage share).2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
59
The slide displays screenshots of training loss/accuracy graphs for different platforms.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
60
The slide uses a diagram to illustrate the technical workflow of federated learning and encrypted inference.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
61
The slide compares CNNs and TICK-GP models on digit recognition and compares SVGP vs VISH on flight delay prediction.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
62
The slide evaluates a past prediction against actual outcomes.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
63
2020 Air Street Capital The State of AI Report 20202020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)1 hit
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The slide highlights the trend of academic talent moving to industry, specifically in the AI sector.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Tale Two Worlds1 hit
65
The slide contrasts a positive industry-academic partnership (DeepMind/Cambridge) with a critical perspective on dual affiliation (Berkeley faculty op-ed).2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Tale Two Worlds1 hit
66
The slide uses a timeline diagram and a regression table to illustrate the causal link between professor departures and student entrepreneurship.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Tale Two Worlds1 hit
67
The slide highlights a specific institutional investment in AI talent.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Tale Two Worlds1 hit
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Slide from State of AI 2020 report.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Tale Two Worlds1 hit
69
The slide validates a previous prediction by showcasing the successful launch of MBUZAI.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Tale Two Worlds1 hit
70
The slide tracks the origin of AI research talent, specifically those with undergraduate degrees from China.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
71
The chart visualizes talent migration patterns for AI researchers.2020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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2020 Air Street Capital The State of AI Report 20202020 Air Street Capital The State of AI Report 2020 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit