Uploaded June 2022 | Updated September 2026, 2 weeks ago
#parti #ai #aiart
Parti is a new autoregressive text-to-image model that shows just how much scale can achieve. This model's outputs are crips, accurate, realistic, and can combine arbitrary styles, concepts, and fulfil even challenging requests.
OUTLINE:
0:00 - Introduction
2:40 - Example Outputs
6:00 - Model Architecture
17:15 - Datasets (incl. PartiPrompts)
21:45 - Experimental Results
27:00 - Picking a cherry tree
29:30 - Failure cases
33:20 - Final comments
Website: https://parti.research.google/
Paper: arxiv.org/abs/2206.10789
Github: github.com/google-research/parti
Links:
Homepage: ykilcher.com
Merch: ykilcher.com/merch
YouTube: youtube.com/c/yannickilcher
Twitter: twitter.com/ykilcher
Discord: ykilcher.com/discord
LinkedIn: linkedin.com/in/ykilcher
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#parti #ai #aiart
Parti is a new autoregressive text-to-image model that shows just how much scale can achieve. This model's outputs are crips, accurate, realistic, and can combine arbitrary styles, concepts, and fulfil even challenging requests.
OUTLINE:
0:00 - Introduction
2:40 - Example Outputs
6:00 - Model Architecture
17:15 - Datasets (incl. PartiPrompts)
21:45 - Experimental Results
27:00 - Picking a cherry tree
29:30 - Failure cases
33:20 - Final comments
Website: https://parti.research.google/
Paper: arxiv.org/abs/2206.10789
Github: github.com/google-research/parti
Links:
Homepage: ykilcher.com
Merch: ykilcher.com/merch
YouTube: youtube.com/c/yannickilcher
Twitter: twitter.com/ykilcher
Discord: ykilcher.com/discord
LinkedIn: linkedin.com/in/ykilcher
If you want to support me, the best thing to do is to share out the content :)
If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
SubscribeStar: subscribestar.com/yannickilcher
Patreon: patreon.com/yannickilcher
Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq
Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2
Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m
Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

![[ML News] GPT-4 Rumors | AI Mind Reading | Neuron Interaction Solved | AI Theorem Proving
#ai #mlnews #gpt4
Your weekly news from the AI & Machine Learning world.
OUTLINE:
0:00 - Introduction
0:25 - AI reads brain signals to predict what youre thinking
3:00 - Closed-form solution for neuron interactions
4:15 - GPT-4 rumors
6:50 - Cerebras supercomputer
7:45 - Meta releases metagenomics atlas
9:15 - AI advances in theorem proving
10:40 - Better diffusion models with expert denoisers
12:00 - BLOOMZ & mT0
13:05 - ICLR reviewers going mad
21:40 - Scaling Transformer inference
22:10 - Infinite nature flythrough generation
23:55 - Blazing fast denoising
24:45 - Large-scale AI training with MultiRay
25:30 - arXiv to include Hugging Face spaces
26:10 - Multilingual Diffusion
26:30 - Music source separation
26:50 - Multilingual CLIP
27:20 - Drug response prediction
27:50 - Helpful Things
ERRATA:
HF did not acquire spaces, they launched spaces themselves and supported Gradio from the start. They later acquired Gradio.
References:
AI reads brain signals to predict what youre thinking
https://mind-vis.github.io/?s=09&utm_source=pocket_saves
https://neurosciencenews.com/bmi-internal-speech-21837/
Closed-form solution for neuron interactions
https://twitter.com/ramin_m_h/status/1592585672606769153/photo/1
https://github.com/raminmh/CfC
https://github.com/raminmh/CfC/blob/main/torch_cfc.py
GPT-4 rumors
https://thealgorithmicbridge.substack.com/p/gpt-4-rumors-from-silicon-valley?utm_source=pocket_reader
Cerebras supercomputer
https://www.cerebras.net/andromeda/
Meta releases metagenomics atlas
https://ai.facebook.com/blog/protein-folding-esmfold-metagenomics/
https://www.genome.gov/genetics-glossary/Metagenomics
AI advances in theorem proving
https://ai.facebook.com/blog/ai-math-theorem-proving/
https://marketplace.visualstudio.com/items?itemName=jroesch.lean
Better diffusion models with expert denoisers
https://deepimagination.cc/eDiffi/
BLOOMZ & mT0
https://arxiv.org/abs/2211.01786?utm_source=pocket_reader
https://huggingface.co/bigscience/bloomz?text=Suggest+at+least+five+related+search+terms+to+%22M%E1%BA%A1ng+neural+nh%C3%A2n+t%E1%BA%A1o%22.
ICLR reviewers going mad
https://twitter.com/XiangruTang/status/1589703605098975237?utm_source=pocket_reader
https://twitter.com/BlancheMinerva/status/1588164585961422849?utm_source=pocket_reader
https://openreview.net/forum?id=pfuqQQCB34
https://twitter.com/peter_richtarik/status/1591408710366408706?utm_source=pocket_reader
Scaling Transformer inference
https://arxiv.org/abs/2211.05102
Infinite nature flythrough generation
https://ai.googleblog.com/2022/11/infinite-nature-generating-3d.html?utm_source=pocket_reader
Blazing fast denoising
https://github.com/dome272/Paella
https://arxiv.org/abs/2211.07292
Large-scale AI training with MultiRay
https://ai.facebook.com/blog/multiray-large-scale-AI-models/
arXiv to include Hugging Face spaces
https://blog.arxiv.org/2022/11/17/discover-state-of-the-art-machine-learning-demos-on-arxiv/
Multilingual Diffusion
https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltDiffusion
Music source separation
https://github.com/facebookresearch/demucs
https://arxiv.org/abs/2211.08553
Multilingual CLIP
https://twitter.com/rom1504/status/1593719037808320513
Drug response prediction
https://phys.org/news/2022-10-ai-accurately-human-response-drug.html
https://huggingface.co/Onodofthenorth/SD_PixelArt_SpriteSheet_Generator
https://huggingface.co/spaces/ronvolutional/sd-spritesheets
https://github.com/daspartho/prompt-extend
https://huggingface.co/blog/fine-tune-whisper
https://twitter.com/CarsonKatri/status/1585412662724272128
https://github.com/carson-katri/dream-textures/
https://www.youtube.com/playlist?list=PLzvYlJMoZ02Dxtwe-MmH4nOB5jYlMGBjr
https://github.com/xl0/lovely-tensors
https://github.com/jerryjliu/gpt_index
https://colab.research.google.com/drive/1o1qYJcFeywzCIdkfKJy7cTpgZTCM2EI4
https://dagshub.com/blog/launching-data-streaming-and-upload/
https://dagshub.com/blog/build-an-end-2-end-active-learning-pipeline-part-1/
https://github.com/run-ai/genv
https://arxiv.org/abs/2210.14868
https://github.com/timeseriesAI/tsai
https://medium.com/@yangyou_berkeley/diffusion-pretraining-and-hardware-fine-tuning-can-be-almost-7x-cheaper-85e970fe207b
https://medium.com/@hpcaitech/accelerating-structure-prediction-of-protein-monomers-and-multimer-by-11-times-769715dcb5b5
https://github.com/hpcaitech/ColossalAI/tree/main/examples/images/diffusion
https://arxiv.org/abs/2211.03726
https://github.com/Deci-AI/super-gradients
https://github.com/facebookresearch/shumai
https://github.com/huggingface/safetensors
https://github.com/google/learned_optimization/tree/main/learned_optimization/research/general_lopt
https://github.com/NVIDIA-Merlin/dataloader
https://loda-lang.org/
https://loda-lang.org/edit/
https://github.com/EelcoHoogendoorn/numga
https://arxiv.org/abs/2210.07316v1
https://huggingface.co/spaces/mteb/leaderboard
https://twitter.com/natfriedman/status/1575631194032549888
https://github.com/nat/natbot [ML News] GPT-4 Rumors | AI Mind Reading | Neuron Interaction Solved | AI Theorem Proving](https://i.ytimg.com/vi/r8wiBA3ZaQE/mqdefault.jpg)




![[ML News] DeepMinds Flamingo Image-Text model | Locked-Image Tuning | Jurassic X & MRKL
#flamingo #mlnews #tech
Your updates directly from the state of the art in Machine Learning!
OUTLINE:
0:00 - Intro
0:30 - DeepMinds Flamingo: Unified Vision-Language Model
8:25 - LiT: Locked Image Tuning
10:20 - Jurassic X & MRKL Systems
15:05 - Helpful Things
22:40 - This AI does not exist
References:
DeepMinds Flamingo: Unified Vision-Language Model
https://www.deepmind.com/blog/tackling-multiple-tasks-with-a-single-visual-language-model
https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/tackling-multiple-tasks-with-a-single-visual-language-model/flamingo.pdf
https://twitter.com/Inoryy/status/1522621712382234624
LiT: Locked Image Tuning
https://ai.googleblog.com/2022/04/locked-image-tuning-adding-language.html
https://google-research.github.io/vision_transformer/lit/
Jurassic X & MRKL Systems
https://www.ai21.com/blog/jurassic-x-crossing-the-neuro-symbolic-chasm-with-the-mrkl-system#reading
https://arxiv.org/pdf/2205.00445.pdf
https://arxiv.org/pdf/2204.10019.pdf
https://studio.ai21.com/jurassic-x
StyleGAN Human
https://stylegan-human.github.io/
https://github.com/stylegan-human/StyleGAN-Human?utm_source=pocket_mylist
https://huggingface.co/spaces/hysts/StyleGAN-Human
Helpful Things
https://github.com/rish-16/grafog
https://huggingface.co/bertin-project/bertin-gpt-j-6B
https://github.com/pytorch/torchdistx
https://pytorch.org/torchdistx/latest/fake_tensor.html
https://github.com/Netflix/vectorflow?utm_source=pocket_mylist
https://iclr-blog-track.github.io/2022/03/25/ppo-implementation-details/
https://twitter.com/DeepMind/status/1517146462571794433
https://github.com/ai-forever/mgpt
https://github.com/cleanlab/cleanlab
https://efficientdlbook.com/?utm_source=pocket_mylist
https://minihack-editor.github.io/
https://mugen-org.github.io/
https://www.amazon.science/blog/amazon-releases-51-language-dataset-for-language-understanding
https://github.com/phuselab/openFACS?utm_source=pocket_mylist
https://medium.com/pytorch/avalanche-and-end-to-end-library-for-continual-learning-based-on-pytorch-a99cf5661a0d
This AI does not exist
https://thisaidoesnotexist.com/
Links:
Merch: https://ykilcher.com/merch
TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick
YouTube: https://www.youtube.com/c/yannickilcher
Twitter: https://twitter.com/ykilcher
Discord: https://ykilcher.com/discord
BitChute: https://www.bitchute.com/channel/yannic-kilcher
LinkedIn: https://www.linkedin.com/in/ykilcher
BiliBili: https://space.bilibili.com/2017636191
If you want to support me, the best thing to do is to share out the content :)
If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
SubscribeStar: https://www.subscribestar.com/yannickilcher
Patreon: https://www.patreon.com/yannickilcher
Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq
Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2
Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m
Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n [ML News] DeepMinds Flamingo Image-Text model | Locked-Image Tuning | Jurassic X & MRKL](https://i.ytimg.com/vi/smUHQndcmOY/mqdefault.jpg)


![[ML News] Chips, Robots, and Models
OUTLINE:
0:00 - Intro
0:19 - Our next-generation Meta Training and Inference Accelerator
01:39 - ALOHA Unleashed
03:10 - Apple Inks $50M Deal with Shutterstock for AI Training Data
04:28 - OpenAI Researchers, Including Ally of Sutskever, Fired for Alleged Leaking
05:01 - Adobes Ethical Firefly AI was Trained on Midjourney Images
05:52 - Trudeau announces $2.4billion for AI-related investments
06:48 - RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
07:15 - CodeGemma - an official Google release for code LLMs
07:24 - Mistral AI: Cheaper, Better, Faster, Stronger
08:08 - Vezora/Mistral-22B-v0.1
09:00 - WizardLM-2, next generation state-of-the-art-LLM
09:31 - Idefics2, the strongest Vision-Language-Model (VLM) below 10B!
10:14 - BlinkDL/rwkv-6-world
10:50 - Pile-T5: Trained T5 on the Pile
11:35 - Model Card for Zephyr 141B-A39B
12:42 - Parler TTS
13:11 - RHO-1: Not all tokens are what you need
14:59 - Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
References:
https://twitter.com/ayzwah/status/1780263768968273923
https://ai.meta.com/blog/next-generation-meta-training-inference-accelerator-AI-MTIA/?utm_source=twitter
https://twitter.com/soumithchintala/status/1778087952964374854?t=Mb-mQvm4YIZ35pVpEijs6g&s=09
https://deepnewz.com/tech/apple-inks-50m-deal-shutterstock-ai-training-data
https://twitter.com/TolgaBilge_/status/1778598047821291793?t=zInlPDRZzozcz7-pjFSnyA&s=09
https://twitter.com/javilopen/status/1778821749792034911?t=oGLiMj6GQdKTuM6GbiYrAg&s=09
https://twitter.com/paulg/status/1781329523155357914?t=vCQT2mJf5BbtjdN1BMFYFQ&s=09
https://twitter.com/RichardSocher/status/1776706907295846628
https://www.cbc.ca/news/politics/federal-government-ai-investment-1.7166234
https://arxiv.org/pdf/2404.07839
https://huggingface.co/blog/codegemma
https://mistral.ai/news/mixtral-8x22b/
https://twitter.com/MistralAILabs/status/1780606904273702932?t=JlSCcYulpJL74pNJbtSZag&s=09
https://huggingface.co/Vezora/Mistral-22B-v0.1
https://huggingface.co/Vezora/Mistral-22B-v0.2
https://twitter.com/WizardLM_AI/status/1779899325868589372?t=l0Fd-4mfdtz3np_gALKaLA&s=09
https://twitter.com/_philschmid/status/1779922877589889400?t=7q1xg1LRy80mV8JGRm4aqA&s=09
https://huggingface.co/BlinkDL/rwkv-6-world
https://blog.eleuther.ai/pile-t5/
https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
https://huggingface.co/MaziyarPanahi/zephyr-orpo-141b-A35b-v0.1-GGUF
https://twitter.com/reach_vb/status/1778138382633140276?t=Mb-mQvm4YIZ35pVpEijs6g&s=09
https://arxiv.org/pdf/2404.07965
https://arxiv.org/pdf/2404.05719
https://sambanova.ai/blog/samba-coe-the-power-of-routing-ml-models-at-scale
https://www.microsoft.com/en-us/research/project/vasa-1/
https://twitter.com/twelve_labs/status/1780939765405065254?t=5ONxSzdwnghsKcwq3IPmEQ&s=09
https://drive.google.com/file/d/1Av5jpsbH3g09TRD1PfRh0nLsYrN_iu7_/view
https://arxiv.org/pdf/2404.12387
https://arxiv.org/abs/2404.12241
https://arxiv.org/pdf/2404.12241
https://twitter.com/Alon_Jacoby/status/1780650122382049596
https://audiodialogues.github.io/
https://os-world.github.io/
https://ai.meta.com/blog/openeqa-embodied-question-answering-robotics-ar-glasses/?utm_source=twitter&utm_medium=organic_social&utm_content=video&utm_campaign=dataset
https://arxiv.org/pdf/2404.07503
https://arxiv.org/pdf/2404.06654
https://twitter.com/amanrsanger/status/1779620682340704386?t=UnOronFwkESwAXiE0i0R4A&s=09
https://huggingface.co/datasets/xai-org/RealworldQA
https://github.com/PygmalionAI/aphrodite-engine
https://github.com/jina-ai/reader/?tab=readme-ov-file
https://r.jina.ai/https://x.com/elonmusk
https://r.jina.ai/https://github.com/jina-ai/reader
https://github.com/rogeriochaves/langstream
https://twitter.com/mvpatel2000/status/1777891913313440215?t=m5POrtTTS33tgwmRztQj3w&s=09
https://github.com/databricks/megablocks
https://github.com/nus-apr/auto-code-rover
https://github.com/nus-apr/auto-code-rover/blob/main/preprint.pdf
https://twitter.com/karpathy/status/1683143097604243456?t=7V_ApJFbjrm4TbxM5n3nXA&s=09
https://twitter.com/karpathy/status/1777427944971083809?t=s6xYQmYkhQyiFU65Fwq9tw&s=09
https://github.com/BasedHardware/Friend
https://twitter.com/argmaxinc/status/1781382688819282132?t=vCQT2mJf5BbtjdN1BMFYFQ&s=09
https://twitter.com/awnihannun/status/1778519566437794109?t=8N5PjwlKJpGotTx_HXZQrQ&s=09
https://twitter.com/Prince_Canuma/status/1776399292036501898
https://pytorch.org/blog/torchtune-fine-tune-llms/
If you want to support me, the best thing to do is to share out the content :) [ML News] Chips, Robots, and Models](https://i.ytimg.com/vi/tRavLU8Ih4A/mqdefault.jpg)
