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PaLM-E is a generalist, embodied language model for robotics. 🤖 It solves many tasks on 𝘮𝘶𝘭𝘵𝘪𝘱𝘭𝘦 types of robots and for 𝘮𝘶𝘭𝘵𝘪𝘱𝘭𝘦 modalities, including images and neural scene representations. Hear more from researchers at #ICML2023: 📍Booth #109 ⌚10.30 HST

Google DeepMind

1,519,283 subscribers

185,398 次观看 • 3 年前 •via X (Twitter)

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Google DeepMind 的头像

Google DeepMind3 年前

🔵 PaLM-E combines the large language model PaLM together with one of the most advanced vision models, ViT-22B. The largest instantiation of this approach is PaLM-E-562B, which set a new state of the art on the visual-language OK-VQA benchmark.

Google DeepMind 的头像

Google DeepMind3 年前

🖼️ As a generally-capable vision-language model, PaLM-E can perform tasks such as describing images, detecting objects, or classifying scenes. It’s also proficient at language tasks, like quoting poetry, solving math equations or generating code. ⬇️

Yair Lavi 的头像

Yair Lavi3 年前

Is there like a bet between you guys and openAI on who destroys the human race first?

Kevin Carter 的头像

Kevin Carter3 年前

It seems that the software is ahead of the hardware for now. I wonder how long until it's truly viable to mass produce robots for everyday help

Maurus Balmer 的头像

Maurus Balmer3 年前

MORE, MUCH MORE ...

Cryptking.eth 👑 🦍 的头像

Cryptking.eth 👑 🦍3 年前

@Scobleizer the future is coming fast 🏆

Marcos Leite 的头像

Marcos Leite3 年前

Sensational,the future now! Check in supervision in erro path alternative!

C. ↙️⚠️ 的头像

C. ↙️⚠️3 年前

@DynamicWebPaige It crunched my chips, and took much longer. Dinner service is behind already

Viaja Tech 的头像

Viaja Tech3 年前

@OpenAI already uploaded chatgpt to @GooglePlay When can we see Bard in its own shop?

Xieba (Beatrix) De La Cruz 的头像

Xieba (Beatrix) De La Cruz3 年前

Palm Cam Bridge e No

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What happens when we train the largest vision-language model and add in robot experiences? The result is PaLM-E 🌴🤖, a 562-billion parameter, general-purpose, embodied visual-language generalist - across robotics, vision, and language. Website:

What happens when we train the largest vision-language model and add in robot experiences? The result is PaLM-E 🌴🤖, a 562-billion parameter, general-purpose, embodied visual-language generalist - across robotics, vision, and language. Website:

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