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2023/11/13

Timestamp –

00:00 Intro
00:23 Deepmind Stages of AGI
03:18 AI on Medical Cases
05:14 MALMEN LM Editing
09:29 S-LoRA 1000s of LoRA in Single GPU
12:31 Neural MMO 2.0
15:26 OtterHD – High Res MultiModal Models
17:43 NExT-Chat – MultiModal Chat with Segmentation
20:24 LLM RULES
22:21 GPT-4 Vision for Autonomous Driving
25:39 Llava Plus
27:41 Diabetes Prediction with Smartphone Audio
30:42 Humane AI Pin
34:01 Samsung Gauss LLM
34:48 Amazon Olympus
36:20 Nat Friedman AI Funding Evals

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🔗 Links 🔗

Levels of AGI: Operationalizing Progress on the Path to AGI https://arxiv.org/pdf/2311.02462.pdf
S-LORA: SERVING THOUSANDS OF CONCURRENT LORA ADAPTERS https://arxiv.org/pdf/2311.03285.pdf
MASSIVE EDITING FOR LARGE LANGUAGE MODELS VIA META LEARNING https://arxiv.org/pdf/2311.04661v2.pdf
Llava Plus : LEARNING TO USE TOOLS FOR CREATING MULTIMODAL AGENTS – https://arxiv.org/pdf/2311.05437.pdf
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving https://arxiv.org/pdf/2311.05332.pdf
NExT-Chat: An LMM for Chat, Detection and Segmentation https://arxiv.org/pdf/2311.04498.pdf
CAN LLMS FOLLOW SIMPLE RULES? https://arxiv.org/pdf/2311.04235.pdf
OtterHD: A High-Resolution Multi-modality Model https://arxiv.org/pdf/2311.04219.pdf
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning https://arxiv.org/pdf/2311.03736.pdf https://neuralmmo.github.io/_build/html/rst/landing.html
Acoustic Analysis and Prediction of Type 2 Diabetes Mellitus Using Smartphone-Recorded Voice Segments https://www.mcpdigitalhealth.org/article/S2949-7612(23)00073-1/fulltext
GPT4-Vision beats Humans in Medical Imaging Evals https://arxiv.org/pdf/2311.05591v1.pdf