Divam Gupta
@divamgupta
Building super-tiny AI models that (hopefully) think • YC S25 • Made @DiffusionBee • Previously: AI research @Microsoft, @CarnegieMellon, @Meta
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Introducing Kitten TTS, a SOTA tiny text-to-speech model - Just 15M parameters - Runs without a GPU - Model size less than 25 MB - Multiple high-quality voices - Ultra-fast - even runs on low-end edge devices Github and HF links below
We have launched on YC!
Stellon Labs (@stellon_labs) is an AI research lab building tiny frontier models that can run on any edge device. In just three weeks, they trained KittenTTS, a super-tiny speech model(<25MB), that got 8K Github Stars with 45K model downloads. ycombinator.com/launches/OEv-s… Congrats…
I've left Meta Reality Labs. Miss working with the best team for realistic avatars. Damn, I definitely miss using thousands of GPUs and running super large-scale training experiments. Now back to being GPU poor, but excited to start something new: building tiny AI models for…
ARC-AGI-3 preview is out It consists of a few games which AI agents can play. It's a good test of few shot learning, generalization and adaptation to new scenarios. > No instructions given to AI > Easy for humans, but hard for AI For perspective: most RL algos have to play…
MLX can now run on CUDA devices! 🔥 A game changer for cross platform local AI
Right now a lot of LLM usage is for very basic tasks. eg. Extracting info from text We will soon have several small task specific LMs which are faster, cheaper and more accurate!
I was able to create a high quality animated video from a pencil sketch under 5 minutes . 🤯🤯🤯 First turn your sketch to a Pixar style image using ControlNet in @diffusionbee Then use @LumaLabsAI to turn it into a video. Wow 😮
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