Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Can Vision-Language Models Solve the Shell Game? paper:

_akhaliq's profile picture

AK

504,480 subscribers

38,459 Aufrufe • vor 3 Monaten •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

My favorite paper this year: "Video models are zero-shot learners and reasoners" It illustrates that video models show emergent visual reasoning at scale - they can solve vision tasks they weren't trained for. This may be the "GPT moment" for vision. Let's break it down 👇
0:19

My favorite paper this year: "Video models are zero-shot learners and reasoners" It illustrates that video models show emergent visual reasoning at scale - they can solve vision tasks they weren't trained for. This may be the "GPT moment" for vision. Let's break it down 👇

Justine Moore

185,001 Aufrufe • vor 5 Monaten

Scaling laws describe how loss changes with scale. Do neurons inside models change predictably too? We study vision and language models up to 30B params and find systematic scaling in neuron universality, specialization, and selectivity. Paper+code: 1/n
0:13

Scaling laws describe how loss changes with scale. Do neurons inside models change predictably too? We study vision and language models up to 30B params and find systematic scaling in neuron universality, specialization, and selectivity. Paper+code: 1/n

Amil Dravid

202,298 Aufrufe • vor 8 Tagen

Automating the Search for Artificial Life with Foundation Models Presents ASAL, the first use of vision-language models in Artificial Life, discovering diverse, novel simulations across substrates proj: abs:
0:16

Automating the Search for Artificial Life with Foundation Models Presents ASAL, the first use of vision-language models in Artificial Life, discovering diverse, novel simulations across substrates proj: abs:

Aran Komatsuzaki

39,177 Aufrufe • vor 1 Jahr

THE VISION PAPER HAS ARRIVED
0:10

THE VISION PAPER HAS ARRIVED

Wilder World

49,558 Aufrufe • vor 1 Jahr

Introducing ✨ Aya Vision ✨ - an open-weights model to connect our world through language and vision Aya Vision adds breakthrough multimodal capabilities to our state-of-the-art multilingual 8B and 32B models. 🌿
0:13

Introducing ✨ Aya Vision ✨ - an open-weights model to connect our world through language and vision Aya Vision adds breakthrough multimodal capabilities to our state-of-the-art multilingual 8B and 32B models. 🌿

Cohere Labs

206,486 Aufrufe • vor 1 Jahr

Artificial Intelligence (#AI) models that process and interpret visual data are called large vision models. These models, like large language models, are trained on large amounts of data. #midjourney #dalle #stablediffusion (1/8) 🧵 ⤵️
0:10

Artificial Intelligence (#AI) models that process and interpret visual data are called large vision models. These models, like large language models, are trained on large amounts of data. #midjourney #dalle #stablediffusion (1/8) 🧵 ⤵️

Nuklai

13,614 Aufrufe • vor 2 Jahren

Congratulations also to Patrick 👍 for his #ICLR paper on Temporal Difference (TD) learning , in it We solve the decades-old puzzle of why TD can solve complex RL tasks that Gradient Descent cannot.
0:10

Congratulations also to Patrick 👍 for his #ICLR paper on Temporal Difference (TD) learning , in it We solve the decades-old puzzle of why TD can solve complex RL tasks that Gradient Descent cannot.

Thuerey Group at TUM

22,074 Aufrufe • vor 1 Jahr

See how Gemini 3 Flash and Vision-Language-Action (VLA) models work together to teach a robot how to play the board game First Orchard. This project shows how to use Gemini as the “brain” for tracking game rules and state, while the VLA handles complex physical manipulations like picking and placing fruit 🍎
0:17

See how Gemini 3 Flash and Vision-Language-Action (VLA) models work together to teach a robot how to play the board game First Orchard. This project shows how to use Gemini as the “brain” for tracking game rules and state, while the VLA handles complex physical manipulations like picking and placing fruit 🍎

Google AI Developers

26,640 Aufrufe • vor 3 Monaten

Ever wondered how training dynamics differ between LLMs 🖋️ and Vision 👁️ models? We explore this and close the gap between VMs and LLMs in our #NeurIPS2024 paper "TrAct: Making First-layer Pre-Activations Trainable". Paper📜 Video🎥
0:20

Ever wondered how training dynamics differ between LLMs 🖋️ and Vision 👁️ models? We explore this and close the gap between VMs and LLMs in our #NeurIPS2024 paper "TrAct: Making First-layer Pre-Activations Trainable". Paper📜 Video🎥

Felix Petersen

20,875 Aufrufe • vor 1 Jahr

🤖 Does VLA models really listen to language instructions? Maybe not 👀 🚀 Introducing our RSS paper: CodeDiffuser -- using VLM-generated code to bridge the gap between **high-level language** and **low-level visuomotor policy** 🎮 Try the live demo: (1/9)
0:16

🤖 Does VLA models really listen to language instructions? Maybe not 👀 🚀 Introducing our RSS paper: CodeDiffuser -- using VLM-generated code to bridge the gap between **high-level language** and **low-level visuomotor policy** 🎮 Try the live demo: (1/9)

Yixuan Wang

26,648 Aufrufe • vor 1 Jahr

Placing objects sounds simple… until robots have to do it. This method makes it simple, fast & reliable. [Github ⬇️] Robotic object placement is tough, especially with stacking, hanging, or insertion. AnyPlace is a new two-stage method that uses only synthetic data and a vision-language model to teach robots where and how to place objects; even in the real world. Why this works ✅ Finds the right spot with help from vision-language models ✅ Handles stacking, insertion, and hanging with no real-world training ✅ Trained on synthetic data using Blender and IsaacSim ✅ Works in the real world without fine-tuning It shows that smart use of simulation and language models can make robotic placement tasks easier, faster, and more reliable. Github: Paper: Thank you for sharing Animesh Garg !
0:13

Placing objects sounds simple… until robots have to do it. This method makes it simple, fast & reliable. [Github ⬇️] Robotic object placement is tough, especially with stacking, hanging, or insertion. AnyPlace is a new two-stage method that uses only synthetic data and a vision-language model to teach robots where and how to place objects; even in the real world. Why this works ✅ Finds the right spot with help from vision-language models ✅ Handles stacking, insertion, and hanging with no real-world training ✅ Trained on synthetic data using Blender and IsaacSim ✅ Works in the real world without fine-tuning It shows that smart use of simulation and language models can make robotic placement tasks easier, faster, and more reliable. Github: Paper: Thank you for sharing Animesh Garg !

Ilir Aliu - eu/acc

22,843 Aufrufe • vor 1 Jahr

The NDA government should solve the issue of NEET paper leak as soon as possible. When will the NEET paper leak thieves be caught?? #NEETfraud #JusticeforNeet2024Aspirants #NEET_परीक्षा_परिणाम #Neetpaperरद्दकरो
0:06

The NDA government should solve the issue of NEET paper leak as soon as possible. When will the NEET paper leak thieves be caught?? #NEETfraud #JusticeforNeet2024Aspirants #NEET_परीक्षा_परिणाम #Neetpaperरद्दकरो

Mukesh Bangra (चौधरी)

11,422 Aufrufe • vor 2 Jahren

Counting penguins can be challenging 🧐🐧 New in LM Studio 0.2.9: 🎉 Local & Offline Vision Models! In this demo: the small and impressive Obsidian Vision 3B by Nous Research.
0:18

Counting penguins can be challenging 🧐🐧 New in LM Studio 0.2.9: 🎉 Local & Offline Vision Models! In this demo: the small and impressive Obsidian Vision 3B by Nous Research.

LM Studio

70,825 Aufrufe • vor 2 Jahren

that the game. German language difficult language 🤣✌️
0:14

that the game. German language difficult language 🤣✌️

Patrick Specht

64,624 Aufrufe • vor 3 Jahren

Video game: The Simpsons Game Language: Italian
0:14

Video game: The Simpsons Game Language: Italian

Out Of Context International Dubs

54,880 Aufrufe • vor 1 Jahr

Can you solve the riddle?
0:15

Can you solve the riddle?

MoodyJes

46,426 Aufrufe • vor 3 Monaten

#GhostofYotei when it’s raining in-game and you open the map, you can see the rain droplets hit the paper. attention to detail in this game is outstanding.
0:18

#GhostofYotei when it’s raining in-game and you open the map, you can see the rain droplets hit the paper. attention to detail in this game is outstanding.

that 🥷🏾 you love to hate

49,586 Aufrufe • vor 8 Monaten

All the big language models under one roof for the very first time 🤯 Compare the output of OpenAI ChatGPT, Anthropic's Claude and Cohere's language model in a single playground!! Check out this amazing tool to get the best of large language models 👇
0:10

All the big language models under one roof for the very first time 🤯 Compare the output of OpenAI ChatGPT, Anthropic's Claude and Cohere's language model in a single playground!! Check out this amazing tool to get the best of large language models 👇

Shubham Saboo

299,255 Aufrufe • vor 3 Jahren

NO LIDAR, NO RADAR – TESLA BETS EVERYTHING ON VISION Tesla’s FSD cameras called the future early – just eyes on the road, silicon style! Vision Facts: •⁠ ⁠GPS + passive optical, nothing else in the stack •⁠ ⁠Road system built for cameras, not sci-fi sensors •⁠ ⁠Superhuman driving is possible with vision alone Tesla called it in 2017 – solve vision, solve autonomy! Source: Elon Musk, TED Talks, 2017
0:18

NO LIDAR, NO RADAR – TESLA BETS EVERYTHING ON VISION Tesla’s FSD cameras called the future early – just eyes on the road, silicon style! Vision Facts: •⁠ ⁠GPS + passive optical, nothing else in the stack •⁠ ⁠Road system built for cameras, not sci-fi sensors •⁠ ⁠Superhuman driving is possible with vision alone Tesla called it in 2017 – solve vision, solve autonomy! Source: Elon Musk, TED Talks, 2017

Mario Nawfal

83,380 Aufrufe • vor 8 Monaten

Holly!I can’t believe this, you can play game boy on Paper S3 now.
0:10

Holly!I can’t believe this, you can play game boy on Paper S3 now.

IAMLIUBO

508,966 Aufrufe • vor 26 Tagen