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Open Flamingo – open framework to train multimodal LLMs
- duxup 4y agoThat title is pretty impressive/ big on mobile!
- sublinear 4y agoIt's just bad unresponsive CSS. It's so ugly to have the words break anywhere and for the intentional line breaks to still occur anyway. All they needed to do was use media queries for at least three screen widths and adjust the font size in there accordingly.
- mpaepper 4y agoThis is awesome work and they also provide their 9B OpenFlamingo model which is based on Llama: https://huggingface.co/openflamingo/OpenFlamingo-9B https://huggingface.co/openflamingo/OpenFlamingo-9B
- ftxbro 4y agoIn the demo I put the obama prank photo http://karpathy.github.io/2012/10/22/state-of-computer-vision/ http://karpathy.github.io/2012/10/22/state-of-computer-visio... and asked "Why is this picture funny?" and it responded "Question: Why is this picture funny? Answer: President Obama is taller than the average person."
- airstrike 4y agoWhat's the GPT-4 answer to why that picture is funny?
- vagabund 4y ago> @karpathy: We tried and it solves it :O. The vision capability is very strong but I still didn't believe it could be true. The waters are muddied some by a fear that my original post (or derivative work there of) is part of the training set. More on it later. https://twitter.com/karpathy/status/1635697741925064704 https://twitter.com/karpathy/status/1635697741925064704
- meghan_rain 4y agoIs there a More on it?
- codetrotter 4y agoTbh I’m not sure why the pic is funny. And I am human
- mylons 4y agohe's stepping on the scale making the guy seem heavier than he is
- pretendscholar 4y agoFurthermore the man on the scale is faced the other way and wouldn’t know someone is stepping on the scale. There’s an element of theory of mind there. You would have to understand that the man on the scale is unaware of Obama’s action.
- owlninja 4y agoThe article points this out and several things we all instantly recognize.
- codetrotter 4y agoThanks. I was looking at the picture on my phone and it was difficult to see what was going on in the picture.
- airstrike 4y agoLuckily the article explains it right below the caption ;-)
- pretendscholar 4y agoBot detected
- david2ndaccount 4y agoThat’s because it’s very posed so it’s not that funny.
- elcomet 4y ago
- joenot443 4y agoHas this one fared better with other image prompt models? It’s a great little challenge, I’m curious for a follow up!
- vagabund 4y agoEven at this scale the model's able to answer questions fairly impressively, but I created an image with some distinct shapes in different positions and it didn't go well [0]. I think however they're doing the image encoding doesn't capture positional information which, to my mind, limits a lot of use cases. [0] https://i.postimg.cc/GtrGs8mw/Screenshot-2023-03-28-at-5-19-55-PM.png https://i.postimg.cc/GtrGs8mw/Screenshot-2023-03-28-at-5-19-...
- famouswaffles 4y agoit's not the image embedding. It's the objective task. Image to text is simply not good enough. It's really lossy and the datasets are garbage so it's not very robust.
- yeldarb 4y agoI always like to try these zero-shot models on things outside of the "normal" COCO classes. Here are some chess board queries: Counting: https://imgur.com/KTuQ1Bv https://imgur.com/KTuQ1Bv Parse the chess board: https://imgur.com/2zYFK1P https://imgur.com/2zYFK1P (Result): https://imgur.com/Ei4MAl7 https://imgur.com/Ei4MAl7 Few-Shot Object Detection (Pascal VOC): https://imgur.com/gZkDMn8 https://imgur.com/gZkDMn8 Few-Shot Object Detection (simplified): https://imgur.com/Hk8QGMd https://imgur.com/Hk8QGMd Not quite there yet. I've been more impressed with the other new zero-shot multimodal models like Grounding DINO and Azure Dense Captioning. Really looking forward to putting multimodal GPT-4 through its paces as well.
- rikimaru0345 4y ago> Parse the chess board: Could it be that the actual issue has to do with it having trouble with small tokens (letters, numbers)? Does it give a different result if you ask it to answer in a format like this? > Please name what kind of piece is on each square of this board > A1: white rook > A2: white pawn > A3: empty > A4: empty > ... Prompting can be so unintuitive sometimes. Maybe it just has an issue with the output representation or something...
- dfrankle 4y agoWhat are the key features of Open Flamingo, and how does it compare to other frameworks for training multimodal LLMs?
- juxtaposicion 4y agoWhat’re the techniques that’ll get this to run on a single GPU?
- dailcooper 4y agoMost of the parameters are in the language model (LLaMa-7B). So, they'd pretty much be the same techniques that would let LLaMa run on a single GPU -- especially lower precision tricks. If you only want to run inference/forward (no training), it should be pretty doable. You can almost definitely run it on consumer GPU if you swap out the language model for something smaller as well (although the performance would definitely not be as good on the language side).
- deleted 4y ago[deleted]