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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
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
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
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
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
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
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
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
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
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