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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
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319,974
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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

54,361-54,420 of 319,975

filter-aware
14
The slide references Berkeley research on imitation learning and Meta's LLaMA-2 paper findings on RLHF.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
15
The slide discusses alternatives to Reinforcement Learning from Human Feedback (RLHF) in AI training.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
16
Includes a screenshot of a tweet by William Falcon mocking the lack of detail in the GPT-4 technical report.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
17
The slide discusses the release of LLaMa, its performance metrics (RACE benchmark), and the controversy regarding its 'open-source' status.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
18
The slide discusses the ecosystem of open-source LLMs, mentioning specific models like MPT-30B, Falcon, RedPajama, Pythia, and Vicuna, and techniques like LoRA.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
19
The slide uses a stacked bar chart to show human evaluation of LLaMa-2 helpfulness against other models.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
20
The chart maps model release/popularity over time (x-axis) against MMLU performance (y-axis), with bubble size representing social media mentions.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
21
The chart tracks the share of different research topics in the AI field.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
22
The slide presents a critique of the 'emergent capabilities' phenomenon in LLMs, citing Stanford research that suggests these are artifacts of metric choice.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
23
The slide discusses technical methods like FlashAttention, ALiBi, RoPE, and Positional Interpolation in the context of LLM scaling.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
24
The slide references the 'Lost in the Middle' research paper by Samaya.ai, UC Berkeley, Stanford, and LMSYS.org.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
25
Part of the State of AI 2023 report.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
26
The slide highlights the shift from 'more data/parameters' to 'better data' in LLM training, specifically referencing the 'phi' model series.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
27
The slide uses a visual comparison (meme vs. truth) to explain the shift from dense models to Mixture of Experts (MoE) architectures.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
28
The slide uses three separate line charts to illustrate data exhaustion timelines for different data types.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
29
The chart shows Top-1 Accuracy vs Parameters (M) for models trained on 'Real' vs 'Real + Generated' data, indicating performance gains.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
30
Includes logos of University of Maryland, Google, Google DeepMind, ETH Zurich, and Princeton.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
31
Discusses the trade-off between training epochs, model size, and overfitting.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Zoom In1 hit
32
The slide contrasts structured quantitative evaluation (HELM/Hugging Face) with qualitative user sentiment ('vibes').2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
33
Includes a process diagram showing the training pipeline for Code Llama models.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
34
The slide uses two process diagrams to explain how AlphaDev functions as an RL agent.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
35
The slide compares different prompting architectures (IO, CoT, CoT-SC, ToT) visually.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
36
The slide uses bar charts to compare accuracy, verbosity, and mismatch metrics for two model versions over time.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
37
Includes a small example box illustrating tool usage (QA and Calculator).2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
38
The chart shows the 'Minecraft Tech Tree' progression of different agents, with Voyager (ours) showing the highest performance.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
39
The slide contrasts standard Chain of Thought (linear) with RAP (tree-based planning).2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
40
Includes a diagram of the reasoning module (DAG) and a performance comparison table.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
41
Includes a technical diagram of the BLIP-2 architecture.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
42
The slide explains a technical approach to visual reasoning using LLMs as code generators for visual APIs.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
43
The slide features a conceptual diagram of the LINGO-1 architecture and two real-world examples of the model providing driving commentary.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
44
The slide uses a diagram to explain the multimodal architecture (PaLM + ViT) and provides examples of robotic manipulation and visual Q&A.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
45
The slide explains the architecture and capabilities of the RT-2 model, highlighting its ability to generalize to novel objects and its deployment efficiency.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
46
The slide uses a circular process diagram to explain the self-improving training loop of the RoboCat agent.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
47
The slide highlights a milestone in AI robotics, specifically in competitive drone racing.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
48
The slide highlights a specific research finding regarding emergent map-building in blind navigation agents.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
49
The slide explains the technical architecture of CICERO, including its use of dialogue history, board state, and a 2.7B-parameter BART-like model.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
50
The slide compares diffusion-based models vs. masked transformer models in the context of video generation.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
51
The slide highlights the shift from pure generation to instruction-based editing using models like InstructPix2Pix and Imagen Editor.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
52
Comparison of MipNeRF360 vs 3D Gaussian Splatting performance metrics.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
53
The slide highlights specific research papers and models (DreamFusion, RealFusion, SKED, Instruct-NeRF2NeRF) in the context of 3D generative AI.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
54
The slide highlights two specific research papers/models in the field of computer vision.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
55
Includes a diagram of the model architecture showing prompt inputs and image inputs leading to a valid mask output.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
56
The slide highlights technical advancements in self-supervised learning, specifically dataset curation and model stability.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
57
The slide compares traditional numerical weather prediction methods with new deep learning/physics-informed models.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
58
Includes a spectrogram image and a performance comparison table for various music generation models.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
59
The slide explains the technical application of generative AI (diffusion models) in biotechnology, specifically protein design.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
60
The slide highlights a breakthrough in computational biology using language models (ESM-2) to predict protein structures.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
61
The slide explains a specific scientific research application (GEARS) using a process diagram and two scatter plots (UMAP visualizations).2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
62
Slide from State of AI 2023 report.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
63
The slide uses a bar chart to show historical progress on the USMLE and a grouped bar chart to compare Med-PaLM 2 vs. physicians across quality and risk metrics.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
64
The slide discusses MultiMedBench (14 tasks) and the architectural shift to multimodal medical models.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
65
The slide highlights the use of social media data for specialized medical AI training.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
66
The slide presents a specific technical architecture (CoDoC) for AI-human decision deferral in clinical settings.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
67
The chart tracks publication volume by scientific discipline, highlighting the rapid growth in medicine and the high volume in mathematics.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
68
The slide uses two grouped bar charts to show the concentration of AI research output by country and by organization.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
69
2023 Air Street Capital The State of AI Report 20232023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)1 hit
70
The chart uses a red box to highlight the most recent quarter (Q2 FY24) and includes emojis to emphasize the growth.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
71
Includes a quote from CoreWeave regarding their fleet scale.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
72
The slide uses a 2x2 grid layout to present four distinct company case studies.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
73
The title has a strikethrough on 'Footballers' which seems to be a humorous or editorial correction.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit