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Mountain

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Matching slides 2,009
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Pages 67
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2022 Air Street Capital The State of AI Report 20222022 Air Street Capital The State of AI Report 2022 · Air Street Capital
Consulting deck VC research Beat · The Action (Now What)1 hit
04
The slide serves as a table of contents and mission statement for the report.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · Setup & Stakes1 hit
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This slide serves as a foundational glossary for the report.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · Setup & Stakes1 hit
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This slide serves as a foundational reference for the rest of the deck.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · Setup & Stakes1 hit
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This slide acts as a key for interpreting model-related diagrams in subsequent slides.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · Setup & Stakes1 hit
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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 · Setup & Stakes1 hit
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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 · Setup & StakesLoop · Precedent1 hit
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The slide uses a traffic light system (Green=YES, Red=NO, Amber=~) to indicate the status of predictions.2023 Air Street Capital The State of AI Report 2023 · Air Street Capital
Consulting deck VC research Beat · Setup & StakesLoop · Precedent1 hit
11
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
12
The chart shows a comparison of GPT-4, GPT-4 (no vision), and GPT-3.5 across various academic and professional exams.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
13
Includes a process diagram illustrating the RLHF training pipeline.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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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