slides · global inventory
Mountain Rising Action
Beat collection for the active corpus filters, with each row opening the slide detail view.
Matching slides 960
Current window 391-420
Pages 32
Rows per page 30
Beat
391-420 of 960
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
50
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
53
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
54
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
56
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
57
Includes a diagram of the data cascade process and a summary table of triggers and impacts.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
58
The slide uses a diagram to propose a documentation framework for CommonCrawl-based datasets.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
59
Includes specific examples of legal NLP (legalBERT/CaseHOLD) and malware detection (SoReL-20M).2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
60
The slide highlights the trade-off between dataset size and training efficiency, showcasing specific techniques like SEALS and SVP.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
61
The chart shows the rapid growth in submissions vs. accepted papers, illustrating the pressure on the review system.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
62
The slide compares code provision rates (initial vs camera-ready) and acceptance rates across different author affiliations.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
63
Data from a randomized prospective social media trial in the Annals of Thoracic Surgery.2021 Air Street Capital The State of AI Report 2021 · Air Street Capital
Consulting deck VC research Beat · The Facts (What)Loop · Iceberg1 hit
64
The slide uses two charts: a bar chart for absolute keyword frequency and a diverging bar chart for growth/decline in usage.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
65
The slide explains the application of GNNs to physical dynamics, specifically mesh-based simulation, highlighting efficiency gains and generalization 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
66
The slide uses a world map to visualize the percentage reduction in negative ETA outcomes across various global cities.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