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27
The slide compares various machine learning approaches for predicting Buchwald-Hartwig reaction yields using bar charts and line graphs.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
28
The slide uses a timeline-like visual to show the progression of DeepMind's algorithms (AlphaGo, AlphaGo Zero, AlphaZero, MuZero) and their capabilities.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide compares DreamerV2 against IQN, Rainbow, C51, and DQN across four performance metrics (Gamer Median, Gamer Mean, Record Mean, Clipped Record Mean) over 200 million steps.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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The slide highlights the XLand environment and Population Based Training as key enablers for zero-shot generalization in RL.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
31
The slide uses three line charts with trend lines to show the impact of AI on human performance.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
32
The slide includes two charts: a scatter plot showing the decline in the number of runs over time and a density plot showing the distribution of reported median scores.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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Includes a comparison diagram of existing methods vs. ClipBERT and a performance table.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)1 hit
34
The slide highlights the trade-off between model capacity and language resource density in ASR.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)1 hit
35
Includes a process diagram of the GSLM architecture.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)1 hit
36
The slide explains the technical shift from GANs to diffusion models in AI research.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Aha Moment1 hit
37
Includes a technical diagram of the contrastive learning architecture and the loss function formula.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Aha Moment1 hit
38
The slide explains the CLIP architecture using a three-step process diagram.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Aha Moment1 hit
39
Includes visual examples of DALL-E outputs for specific text prompts.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Aha Moment1 hit
40
The slide details the VLiD architecture, showing training and inference workflows.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Aha Moment1 hit
41
The slide uses a visual example of a prompt-to-code workflow.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
42
Includes a visual example of a coding problem (H-Index) and a bar chart comparing model performance across difficulty levels.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
43
The slide contrasts formal theorem proving datasets with the new MATH dataset, highlighting the difficulty of the latter even for humans.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
44
Includes a qualitative example of model responses to tricky questions as model size increases.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
45
The slide references a CMU survey of 60+ papers. It includes a table comparing four paradigms: Fully Supervised (Non-Neural), Fully Supervised (Neural), Pre-train/Fine-tune, and Pre-train/Prompt/Predict.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
46
Includes a tweet as a case study example.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
47
The slide uses data from LAMA and SuperGlue benchmarks to illustrate performance variability in prompting.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
48
The slide includes two technical diagrams illustrating the architecture of the ERNIE 3.0 model.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
49
The slide showcases the M6 model's capabilities in multimodal tasks (image-to-text and text-to-image) using examples from the M6-Corpus.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
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2021 Air Street Capital The State of AI Report 20212021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
51
The slide highlights the unreliability of human benchmarks in NLP, specifically referencing GPT-2 and GPT-3 evaluation.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Pattern Hunter1 hit
52
The slide highlights the lack of geographic diversity in training data for medical AI, leading to potential clinical bias.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
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The slide uses two charts to illustrate demographic imbalances: a population pyramid by ethnicity and age, and a stacked bar chart showing sex distribution by ethnicity.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
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The slide uses a scatter plot to compare sensitivity vs false positive rate across various studies.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
55
The slide highlights a specific research finding regarding algorithmic bias in medical imaging.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
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The slide uses data from Papers With Code to track trends in AI research reproducibility and framework adoption.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit