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The paradox with evolutionary systems is that legacy learning is hard to update fast, which is both a good thing and a bad. Bad that it can't improvise to updated data fast , good that a small unintended change won't significantly change the outcomes...
# RLHF is just barely RL Reinforcement Learning from Human Feedback (RLHF) is the third (and last) major stage of training an LLM, after pretraining and supervised finetuning (SFT). My rant on RLHF is that it is just barely RL, in a way that I think is not too widely…
Huge congrats to @AIatMeta on the Llama 3.1 release! Few notes: Today, with the 405B model release, is the first time that a frontier-capability LLM is available to everyone to work with and build on. The model appears to be GPT-4 / Claude 3.5 Sonnet grade and the weights are…
New (2h13m 😅) lecture: "Let's build the GPT Tokenizer" Tokenizers are a completely separate stage of the LLM pipeline: they have their own training set, training algorithm (Byte Pair Encoding), and after training implement two functions: encode() from strings to tokens, and…
I drew this morpho butterfly with mathematical equations.
Introducing AlphaGeometry: an AI system that solves Olympiad geometry problems at a level approaching a human gold-medalist. 📐 It was trained solely on synthetic data and marks a breakthrough for AI in mathematical reasoning. 🧵 dpmd.ai/alphageometry
# On the "hallucination problem" I always struggle a bit with I'm asked about the "hallucination problem" in LLMs. Because, in some sense, hallucination is all LLMs do. They are dream machines. We direct their dreams with prompts. The prompts start the dream, and based on the…
Google (DeepMind) releases AI model Gemini. There is no turning back now, we are in for one mad ride. The multi modality, and fluidity of the model is super clean. My jaw dropped at 4:24 seconds A thread...
In my decade spent on AI, I've never seen an algorithm that so many people fantasize about. Just from a name, no paper, no stats, no product. So let's reverse engineer the Q* fantasy. VERY LONG READ: To understand the powerful marriage between Search and Learning, we need to go…
Runway's new update is producing incredible AI videos. It's a significant leap forward. As someone who's worked with a famous Hollywood producer and dreamed of creating films, I find this so exciting. We're witnessing the birth of a new era in film. Here are the best examples:
OpenAI (vision & voice APIs) for sports narration:
GPT-4V + TTS = AI Sports narrator 🪄⚽️ Passed every frame of a football video to gpt-4-vision-preview, and with some simple prompting asked to generate a narration No edits, this is as it came out from the model (aka can be SO MUCH BETTER)
Turns out, fitting a curve to a dataset produces a model that only generalizes to that specific data distribution -- big if true.
New paper by Google provides evidence that transformers (GPT, etc) cannot generalize beyond their training data
i expect ai to be capable of superhuman persuasion well before it is superhuman at general intelligence, which may lead to some very strange outcomes
Bias and Variance takes little time to learn but lifetime to master, and at the end it will be at most somewhat an optimized outcome. Applies pretty much to everything in life.
Will be quite useful for case based algorithm development and selection and training. Somewhat like more sophisticated and generalized version of cross validation at a scale for new models, put in rustic terms. Super Amazing
🎉Just released: Eureka!, a new AI agent that uses LLMs to automatically generate algorithms to train robots to accomplish complex tasks. 👀 The #NVIDIAResearch paper includes the AI algorithms and how to experiment with Eureka using NVIDIA Isaac Gym. 👇 nvda.ws/3PWKlk4
More and more Plus users are getting the new ChatGPT Vision.. People are posting impressive use cases. 9 really good ones:
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis dynamic3dgaussians.github.io We model the world as a set of 3D Gaussians that move & rotate over time. This extends Gaussian Splatting to dynamic scenes, with accurate novel-view synthesis and dense 3D trajectories.
Around 31 hours since Adobe Max dropped the new Firefly 2 models... People are WOW-ing at the real photorealism! 10 examples: (How are these not real photos?)
This is such an interesting work. Video diffusion model is being used as a data-driven physics simulation, in which an agent can plan, explore, and learn optimal actions without touching robot hardware or causing harm. LLM is not only an OS, but also a full reality simulator.
Introducing Universal Simulator (UniSim), an interactive simulator of the real world. Interactive website: universal-simulator.github.io Paper: arxiv.org/abs/2310.06114
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