Mahesh Goud @mahesh_goud
Applied Scientist at Amazon Seattle, WA Joined May 2010-
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Excited to attend #cvpr2024 this week at Seattle ! Let's catch up if some of you folks are around.
Vision-language ➡️ vision-language-action model By using a pre-trained VLM (e.g. PaLI-X), RT-2 enables robots to generalize to new objects & instructions RT-2 also shows basic reasoning capabilities. (e.g. "place orange in matching bowl") Paper+videos: robotics-transformer2.github.io
Vision-language ➡️ vision-language-action model By using a pre-trained VLM (e.g. PaLI-X), RT-2 enables robots to generalize to new objects & instructions RT-2 also shows basic reasoning capabilities. (e.g. "place orange in matching bowl") Paper+videos: robotics-transformer2.github.io https://t.co/g29twNdZnf
I gave an invited lecture on Instruction finetuning and RLHF for @hhexiy 's class at NYU. One unique perspective of my lecture is that I introduce RLHF as an instance of using a learned objective function. Video: youtu.be/zjrM-MW-0y0 Slides: docs.google.com/presentation/d…
🚀Exciting news! Thanks to the LLaVA-Lightning, we're releasing LLaVA-MPT today, just a day after the release of (commerically usable) MPT from @MosaicML! Built on MPT-7B-Chat, it only takes 3 hours to open up the eyes of MPT models to grasp and reason about the visual world. 🧵
🚀Exciting news! Thanks to the LLaVA-Lightning, we're releasing LLaVA-MPT today, just a day after the release of (commerically usable) MPT from @MosaicML! Built on MPT-7B-Chat, it only takes 3 hours to open up the eyes of MPT models to grasp and reason about the visual world. 🧵
We are pleased to share OpenAlpaca, an instruction-following model based on OpenLLaMA. OpenAlpaca is fully open-sourced and can be used for academic/commercial purposes for free. The training of OpenAlpaca takes less than 30 minutes on 8xA100 (40G) GPUs. github.com/yxuansu/OpenAl…
Have you heard the news? 🗞️ Not one but two new open-source LLMs have been released! 🌍 @MosaicML and @togethercompute released new 7B LLM models under the Apache 2.0 license. 🤯 Available on Hugging Face: Together: huggingface.co/models?dataset… MosaicML: huggingface.co/models?other=l…
Getting asked a lot if Instruction Fine-tuning (IFT) or RLfH is better for training LLMs & do you need both or not. My two cents 👇:
Today is AutoGPT's 3-week anniversary. If you don't know what AutoGPT is yet- it's currently taking over the internet. These AI "agents" operate on their own and complete tasks for you. Here are 10 incredible use cases already:
🥳 Exciting news! The code of ODISE is released! github.com/NVlabs/ODISE 🎉All the checkpoints and models are available. Enjoy! ODISE is also selected as a highlight in #CVPR2023. See you in Vancouver! Project page: jerryxu.net/ODISE/ Demo: huggingface.co/spaces/xvjiaru…
🥳 Exciting news! The code of ODISE is released! github.com/NVlabs/ODISE 🎉All the checkpoints and models are available. Enjoy! ODISE is also selected as a highlight in #CVPR2023. See you in Vancouver! Project page: jerryxu.net/ODISE/ Demo: huggingface.co/spaces/xvjiaru…
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: palm-e.github.io
Text-to-image generative models, meet robotics! We present ROSIE: Scaling RObot Learning with Semantically Imagined Experience, where we augment real robotics data with semantically imagined scenarios for downstream manipulation learning. Website: diffusion-rosie.github.io 🧵👇
👋Missed our AAAI'22 tutorial "Deep Learning on Graphs for Natural Language Processing"? You can now take it at your own pace. 📀Recording: youtube.com/watch?v=QZEetG… 📃Slides: dlg4nlp.github.io/tutorials.html With @lingfei_wu @chenyu_hugo @elgreco_winter @BangLiuUdeM
@FedorovMykhailo Starlink service is now active in Ukraine. More terminals en route.
I will be presenting a series of works on multi-modal representation learning and grounding in computer vision and natural language processing in my upcoming invited talk at MIT (@MIT_CSAIL) on Feb 23. Talk details: tinyurl.com/2p8athvw #nlproc #computervision #PhD @GoogleAI
generally, I am not sure why NLP community is very excited on prompt-tuning methods currently, here are my arguments 1) attention scales quadratically with sequence length and prompt-tuning adds to token length 2) prompt-tuning is usually slow to converge
Wow, 3k views in 24h! Thank you -- every one of you. youtube.com/watch?v=0blQp0… DLCT in 20 minutes! 😂 We are talking about "Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks" today. arxiv.org/abs/2108.00131
Building upon "𝘩𝘰𝘸 𝘮𝘶𝘤𝘩 knowledge can you pack into the parameters of a language model?", have you wondered "𝘸𝘩𝘢𝘵 knowledge do you want to pack into the parameters of a language model?" Check out our new preprint (arxiv.org/abs/2012.15856) on this problem! 1/n
Know anyone who is looking to learn robotics? I made a page with links to the best resources to help allshire.org/getting-starte…
My recipe if I were starting with PyTorch for deep learning all over again: - do "60 min blitz" on docs - do "what is torch.nn really?" tutorial - do at least one example tutorial on audio/video/nlp - follow up with examples in this "Awesome PyTorch" repo: github.com/bharathgs/Awes…
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