PaLI: A Jointly-Scaled Multilingual Language-Image Model
Effective scaling and a flexible task interface enable large language models to excel at many tasks. We present PaLI (Pathways Language and Image model), a model that extends this approach to the joint modeling of language and vision. PaLI generates text based on visual and textual inputs, and with this interface performs many vision, language, and multimodal tasks, in many languages. To train PaL
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2024/11/22 Optimization Night #9 講演資料 https://optimization.connpass.com/event/332590/
Large Vision Language Model (LVLM) ã«é–¢ã™ã‚‹æœ€æ–°çŸ¥è¦‹ã¾ã¨ã‚ (Part 1)
本資料ã§ã¯ã€å¤§è¦æ¨¡è¦–覚言語モデル (LVLM) ã«é–¢ã™ã‚‹æœ€æ–°ã®çŸ¥è¦‹ã‚’包括的ã«ã¾ã¨ã‚ã¦ç´¹ä»‹ã—ã¦ã„ã¾ã™ã€‚ Part 1 ã§ã¯ã€ã€Œç”»åƒã‚¨ãƒ³ã‚³ãƒ¼ãƒ€ã€ã¨ã€Œå¤§è¦æ¨¡è¨€èªžãƒ¢ãƒ‡ãƒ« (LLM)ã€ã®æŽ¥ç¶šæ–¹æ³•åŠã³ã€ç”»åƒã®ã‚¨ãƒ³ã‚³ãƒ¼ãƒ‰æ–¹æ³•ã«ç„¦ç‚¹ã‚’当ã¦ã¦è§£èª¬ã—ã¦ã„ã¾ã™ã€‚ （続編㮠Part 2 ã§ã¯ã€å¦ç¿’データã«ç„¦ç‚¹ã‚’当ã¦ã¦è§£èª¬â€¦
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VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
Scaling model size significantly challenges the deployment and inference of Large Language Models (LLMs). Due to the redundancy in LLM weights, recent research has focused on pushing weight-only quantization to extremely low-bit (even down to 2 bits). It reduces memory requirements, optimizes storage costs, and decreases memory bandwidth needs during inference. However, due to numerical representa
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Reinforcement Learning: An Overview
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
DINOv2: Learning Robust Visual Features without Supervision
CDCL ã«ã‚ˆã‚‹åŽ³å¯†è§£æ³•ã‚’採用ã—㟠MILP ソルãƒãƒ¼
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
BridgeData V2: A Dataset for Robot Learning at Scale
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Octo: An Open-Source Generalist Robot Policy
OpenVLA: An Open-Source Vision-Language-Action Model
Generator Matching: Generative modeling with arbitrary Markov processes
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