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The slide acts as a showcase/screenshot of the Papers With Code website interface.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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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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