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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Slide type

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

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Slide collection

146,281-146,340 of 319,975

filter-aware
05
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
06
The slide is a simple visual placeholder for the game Dota 2.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
07
The slide includes a '5 seconds' timer element, likely indicating a timed transition or pacing marker.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
08
The image features the OpenAI logo prominently in the center of the arena.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
09
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
10
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
11
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Aha Moment1 hit
12
The slide uses visual examples of simple simulated environments (MuJoCo-style physics and Atari games) to illustrate the early scope of RL.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Aha Moment1 hit
13
The chart illustrates that different random seeds lead to vastly different performance outcomes, undermining the reliability of reported results.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Aha Moment1 hit
14
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Aha Moment1 hit
15
The diagram uses a custom visual notation where squares represent Value, triangles represent Reward (R), and circles represent Actor (A) and State (S) components, linked by arrows indicating noise addition and flow.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Aha Moment1 hit
16
The diagram shows a sequence of inputs feeding into a sequence of hidden states, which are connected sequentially.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Aha Moment1 hit
17
The diagram shows a complex neural network architecture with multiple input branches, embedding layers, and a multi-output head structure.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Aha Moment1 hit
18
Likely related to AlphaZero or similar reinforcement learning training methodologies.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Aha Moment1 hit
19
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
20
The chart illustrates that identical experimental setups can yield vastly different results, undermining the reliability of reported RL performance metrics.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
21
The diagram shows a standard unrolled RNN/LSTM structure with input nodes feeding into hidden state nodes that are connected sequentially.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
22
The slide explains a technical adjustment in multi-agent reinforcement learning (LSTM agents) to improve cooperation.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
23
The chart tracks performance improvement from May to August 2018, highlighting key milestones and opponent levels.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
24
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
25
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
26
The slide serves as a visual proof point for robotic dexterity.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
27
The slide illustrates the concept of domain randomization in machine learning, specifically for robotics, by showing visual diversity in training data.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
28
The slide illustrates a machine learning training architecture involving distributed data collection, a control policy (LSTM), and a perception model (CNN).OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
29
The diagram shows a multi-view input processed by convolutional layers, feeding into object pose estimation, which is then combined with fingertip locations to drive an LSTM-based control policy.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
30
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
31
The slide uses a Venn diagram to show overlap between two AI projects.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
32
The slide serves as a visual aid to demonstrate the hardware configuration of a vision-based robotic system.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
33
The diagram represents a deep learning architecture for multi-camera vision processing.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
34
The diagram represents a standard deep reinforcement learning policy architecture.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
35
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
36
The table compares performance on 15 different datasets/tasks.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
37
The slide contains a screenshot of a document or email thread with three distinct sections labeled 'Bank', 'Mattress', and 'Coffee'.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
38
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
39
The slide shows a 12x repeated transformer block on the left and specific input/output processing pipelines for four different NLP tasks on the right.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
40
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
41
The slide uses a minimalist design to emphasize the central argument.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
42
The slide uses a blue background and includes a book cover image.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
43
The slide uses a historical anecdote to preemptively address skepticism about innovation.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
44
The slide uses a historical case study to illustrate the concept of 'aversion to scale' as a strategic failure.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
45
The slide uses historical quotes to preemptively address potential skepticism from the audience regarding the presenter's proposal.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
46
The slide uses a quote to frame a historical perspective on the limitations of deep learning.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
47
The slide presents a personal narrative of AI history, contrasting historical milestones with photos of prominent figures in the field.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
48
The slide uses a historical photograph of Frank Rosenblatt and the Mark I Perceptron to provide context for the quote.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
49
The slide features the book cover of 'Perceptrons' and a portrait of Seymour Papert.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations Loop · Cost Of Inaction1 hit
50
The slide uses a quote to provide historical context on the AI winter/funding skepticism.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
51
The slide features portraits of David Rumelhart, Geoffrey Hinton, James McClelland, and James Anderson.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
52
The slide uses a historical anecdote about Gerald Tesauro to challenge the conventional narrative of AI development.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
53
The slide uses a blue background with white text, typical of a section divider or transition slide.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
54
The slide uses a before-after-bridge framework to contrast traditional domain-specific feature engineering (HOG) with the deep learning approach.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
55
Uses a classic before-after-bridge structure to highlight the paradigm shift in AI research.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
56
The slide uses a before-after-bridge framework to illustrate the paradigm shift in deep learning capabilities.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
57
Uses a classic before-after-bridge structure to highlight the breakthrough of AlphaGo.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
58
Uses a before-after-bridge framework to show the evolution of RL capabilities.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
59
Uses a before-after-bridge structure to highlight the breakthrough in robotics.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
60
This slide likely refers to the original GPT model (OpenAI, 2018).OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
61
The chart uses a logarithmic scale on the Y-axis to visualize the 300,000x increase in compute.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
62
The chart illustrates the exponential growth in compute requirements for AI training, particularly starting around 2017.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
63
The slide uses a dark blue background with white text, emphasizing the gravity of the topic.OpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit
64
OpenAI | Product Presentation Deck | 64 slidesOpenAI | Product Presentation Deck | 64 slides · OpenAI
Conference presentation Investor relations 1 hit