Jonathan Cheng @chengyjohann
ML @riotgames. Formerly ML @Apple. PhD in English. Wrote a diss on using math to model fictional characters in books. Opinions are my own. He/Him. 🏳️🌈 Joined August 2017-
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🅿️ Phi-3 is now available on Hugging Face 3.8B parameter model in two versions: 4K and 128K context length. Excellent performance + MIT license, enjoy! 🥳 🤗 4k: huggingface.co/microsoft/Phi-… 🤗 128k: huggingface.co/microsoft/Phi-…
I'm so tired of being in rooms where people whisper about the absolute ARMY of Big Tech-funded people (most, but not all, ex-Googlers) that have popped up in nearly every corridor in DC where people are working on literally anything to do with AI. So let's talk about it! 1/12
We're hiring a data engineer to help with Dolma! Come work with me on: - data acquisition 🕷️ - high–performance data pipelines ⚡️ - open source science 🔄 Please apply if you have experience in any of those! DM for questions, job link in thread 🧵
Introducing Arena-Hard – a pipeline to build our next generation benchmarks with live Arena data. Highlights: - Significantly better separability than MT-bench (22.6% -> 87.4%) - Highest agreement to Chatbot Arena ranking (89.1%) - Fast & cheap to run ($25) - Frequent update…
Data is all we need! 👑 Not only since Llama 3 have we known that data is all we need. Excited to share 🍷 FineWeb, a 15T token open-source dataset! Fineweb is a deduplicated English web dataset derived from CommonCrawl created at @huggingface! 🌐 TL;DR: 🌐 15T tokens of cleaned…
EndlessDreams: Voice directed real-time video at 1280x1024. A 2+ min video gen'ed directed by my voice in 2min. A crude first start. Don't confuse smooth 60 sec vids that take hours to do. This is RT exploration of gems hidden in the latent space. This is only the beginning.
"... do SSMs truly have an advantage (over transformers) in expressive power for state tracking? Surprisingly, the answer is no ... Thus, despite its recurrent formulation, the 'state' in an SSM is an illusion" 🎤✋🔥 arxiv.org/abs/2404.08819
🦙 OrpoLlama-3-8B Successful ORPO fine-tune of Llama 3 with ChatML template! It was trained on 40K high-quality preference samples for 3 epochs. Sharing some details and benchmarks. 🧵 🤗 Model: huggingface.co/mlabonne/OrpoL… 🪟 Demo: huggingface.co/spaces/mlabonn…
Can't wait to see multimodal LLama 3! We released a resource that might come in handy: The Cauldron🍯 The Cauldron is a massive manually-curated collection of 50 vision-language sets for instruction fine-tuning. 3.6M images, 30.3M query/answer pairs. It covers a large…
I’m going on a staycation this weekend, but I wanted to get this out so I’m not distracted: llama-3-MOE. This is a departure from previous MOEs I’ve done. This uses @deepseek_ai’s MoE architecture, and not Mixtrals. There is no semantic routing, and there is no gate. All 4…
As Llama 3 is working fine in French with a >95% English dataset, taking the opportunity to signal this great paper by @antonschafer et al.: counter-intuitively language imbalance in pre-training helps with cross-linguistic generation. arxiv.org/abs/2404.07982
While I was eagerly awaiting the technical report/paper accompanying the Llama 3 release yesterday, I stumbled upon another very interesting research paper this week, which finally answers one of my pressing questions: "Is DPO Superior to PPO for LLM Alignment?" RLHF is one of…
Models dropped on Hugging Face! huggingface.co/meta-llama/Met… huggingface.co/meta-llama/Met…
here are the slides I made about Understanding, some keywords: entailment, the appearance of understanding, systematicity, pragmatics, reference drive.google.com/file/d/1dfT9p-…
here are the slides I made about Understanding, some keywords: entailment, the appearance of understanding, systematicity, pragmatics, reference drive.google.com/file/d/1dfT9p-…
Fascinating @geoffreyvs chart showing asymmetric polarization. Congress has shed moderate Dems, though lefty Dems are about as liberal as they used to be. But all flavors of Republican have moved strongly rightward. abcnews.go.com/538/claims-uni…
Consistent Diffusion Meets Tweedie. Our latest paper introduces an exact framework to train/finetune diffusion models like Stable Diffusion XL solely with noisy data. A year's worth of work breakthrough in reducing memorization and its implications on copyright 🧵
Meta announces Megalodon Efficient LLM Pretraining and Inference with Unlimited Context Length The quadratic complexity and weak length extrapolation of Transformers limits their ability to scale to long sequences, and while sub-quadratic solutions like linear attention and
Dataset Reset Policy Optimization for RLHF Reinforcement Learning (RL) from Human Preference-based feedback is a popular paradigm for fine-tuning generative models, which has produced impressive models such as GPT-4 and Claude3 Opus. This framework often consists of
PAG (Perturbed-Attention Guidance) is not getting nearly the attention it deserves, I've adapted it to work on SDXL with diffusers 🧨 ...and it DELIVERS! 🤯 Try it here ▶️ huggingface.co/spaces/multimo… thanks to KU-CVLAB researchers: Donghoon Ahn Hyoungwon Cho et. al ❤️
PAG (Perturbed-Attention Guidance) is not getting nearly the attention it deserves, I've adapted it to work on SDXL with diffusers 🧨 ...and it DELIVERS! 🤯 Try it here ▶️ huggingface.co/spaces/multimo… thanks to KU-CVLAB researchers: Donghoon Ahn Hyoungwon Cho et. al ❤️ https://t.co/olDTlVuahp
Video2Game Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video Creating high-quality and interactive virtual environments, such as games and simulators, often involves complex and costly manual modeling processes. In this paper, we present
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131K Followers 90K Following A knowledge-graph ecosystem where research matters. $PGPT: Protect your IP with #FHE Join the movement - DeSci follow #DeSciRais Latif @RaisLatif_Study
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3K Followers 725 Following I am a physicist working on neural networks and machine learning, @MITIBMLab @IBMResearch. Formerly: @the_IAS, @PrincetonStylar @stylar_ai
2K Followers 2K Following Stylar is your ultimate controllable AI image editor. Designed for designers, Stylar is an easy-to-use, controllable, efficient and reliable work assistant.@tedunderwood.me 🦋 @Ted_Underwood
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424 Followers 2K Following finding poems; making poems | she/they 🏳️🌈 Digital Humanities Program Manager @YaleDHLab PhD English @EmoryUniversity MA Digital Humanities @KingsCollegeLoncarly schnitzler @cschn1tz
377 Followers 836 Following teaching writing @johnshopkins • learning + organizing @ if, then: technology and poetics • researching creative computation and community rhetoric (she/her)anyone who thinks today’s models are close to AGI has never had to work with chat model templates
Phi 3 (3.8B) got released! The paper said it was just a Llama arch, but I found some quirks while adding this to @UnslothAI: 1. Sliding window of 2047? Mistral v1 4096. So does Phi mini have SWA? (And odd num?) Max RoPE position is 4096? 2. Upcasted RoPE? Like Gemma? 3. Dynamic…
I’m excited to share that I’m working on a new book about building applications with foundation models! AI Engineering builds upon Machine Learning Systems Design, but with a focus on large scale, ready made models. The book covers: - The new AI stack (e.g. how it differs from…
imgsys (the chatbot arena of image generation) by @isidentical @FAL is now on @huggingface spaces. @playground_ai & Pixart are leading the leaderboard but still early in the votes! huggingface.co/spaces/fal-ai/…
One of the big questions about @huggingface accelerate during distributed @PyTorch training is how do you optimize your DataLoaders to make use of your multiple GPUs. Happy to share this all with you via another wonderful animated tutorial! youtube.com/watch?v=9Vfauv…
@chengyjohann Yes, at this stage it's really a wide range of possible outcomes, from (1) the model is trained on benchmarks, (2) the model is trained on benchmarks formats/structure (not completely useless for some use cases), (3) it's actually good. My prior is currently on (2) but we'll see.
wtaf?
phi-3-mini: 3.8B model matching Mixtral 8x7B and GPT-3.5 Plus a 7B model that matches Llama 3 8B in many benchmarks. Plus a 14B model. arxiv.org/abs/2404.14219
(Guy who loves doing internal refactors) All my users keep asking me to do internal refactors!
I'm so tired of being in rooms where people whisper about the absolute ARMY of Big Tech-funded people (most, but not all, ex-Googlers) that have popped up in nearly every corridor in DC where people are working on literally anything to do with AI. So let's talk about it! 1/12
You get the most comprehensive theory by asking people. #LLMsecurity
Easily Fine-tune @AIatMeta Llama 3 70B! 🦙 I am excited to share a new guide on how to fine-tune Llama 3 70B with @PyTorch FSDP, Q-Lora, and Flash Attention 2 (SDPA) using @huggingface build for consumer-size GPUs (4x 24GB). 🚀 Blog: philschmid.de/fsdp-qlora-lla… The blog covers: 👨💻…
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation Proposes AutoCrawler, a two-stage framework that leverages the hierarchical structure of HTML for progressive understanding arxiv.org/abs/2404.12753
Introducing Arena-Hard – a pipeline to build our next generation benchmarks with live Arena data. Highlights: - Significantly better separability than MT-bench (22.6% -> 87.4%) - Highest agreement to Chatbot Arena ranking (89.1%) - Fast & cheap to run ($25) - Frequent update…
Data is all we need! 👑 Not only since Llama 3 have we known that data is all we need. Excited to share 🍷 FineWeb, a 15T token open-source dataset! Fineweb is a deduplicated English web dataset derived from CommonCrawl created at @huggingface! 🌐 TL;DR: 🌐 15T tokens of cleaned…
"... do SSMs truly have an advantage (over transformers) in expressive power for state tracking? Surprisingly, the answer is no ... Thus, despite its recurrent formulation, the 'state' in an SSM is an illusion" 🎤✋🔥 arxiv.org/abs/2404.08819
@xrist0bg take a look at the medusa paper. that's pretty much what they're doing: add multiple decoding heads to an LLM at the end and finetune them so they predict multiple tokens in the future from a single forward pass
Google's recent landmark paper on InfiniAttention for achieving infinite context. ✨ While true infinite context may be far-fetched idae, I think a very long context length, which is sufficient for most industry use cases, is within reach. Paper - "Efficient Infinite Context…
quanto - A very nice pytorch quantization toolkit ✨ - all features are available in eager mode (works with non-traceable models), - device agnostic (CPU, CUDA, MPS), - supports int8, int2 and int4 weights and int8 and float8 activations. 📌 Quanto is also `torch.compile`…
So long as we are walking down memory lane, just a reminder that DiscoDiffusion slayed, and we lost something along the way with Midjourney/Dalle standardization. (deep sea skylines by @images_ai, July 2021)
It suddenly strikes me that GPT-3 is the anti-llama 3. Small corpus (relatively), high parameter count, poorly aligned/instructed and yet able to write shockingly credible 1830s French. (old generation from 2021, as a continuation from Balzac)