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Open-sourcing the Plain English to SQL Pipeline
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1Kenneth Hamilton PRO
ZennyKenny
AI & ML interests
Building and enablement @ montebello.ai
Certified vibe coder
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about 13 hours ago
ππππ ποΈ πππ±π-πππ¬ππ πππ«π«ππ’π§ π ππ§ππ«πππ’π¨π§ π¦π¨πππ₯
MESA is a novel generative model based on latent denoising diffusion capable of generating 2.5D representations (co-registered colour and depth maps) of terrains based on text prompt conditioning.
Work developed by Paul BorneβPons (@NewtNewt) during his joint internship at
Adobe & ESA, and in collaboration with asterisk labs.
ποΈ ππ«π¨π£πππ πππ π : https://paulbornep.github.io/mesa-terrain/
π ππ«ππ©π«π’π§π : https://arxiv.org/abs/2504.07210
π€ ππ¨πππ₯ πππ’π π‘ππ¬ : https://www.huggingface.co/NewtNewt/MESA
πΎ πππππ¬ππ : https://huggingface.co/datasets/Major-TOM/Core-DEM
π§π»βπ»βππ¨ππ : https://github.com/PaulBorneP/MESA
updated
a dataset
about 13 hours ago
ZennyKenny/TRON-dataset-v.1.0
posted
an
update
about 13 hours ago
Submitted my first dataset for the Reasoning Datasets Competition! https://huggingface.co/datasets/ZennyKenny/TRON-dataset-v.1.0
This dataset is designed to post-train Metareasoning agents, or those agents whose job it is to quickly (and importantly, cheaply) reason through whether it makes sense to launch a full reasoning job or simply use a simple completions job.
There's still plenty of time to join the competition! https://www.bespokelabs.ai/blog/reasoning-datasets-competition
Generation notebook (linked in dataset) is open source and pretty well generalized if I don't say so myself, so you can use it to make your own Metareasoning datasets.
Shoutout to @onekq for his inspiring comment on this topic.
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Article
On-Demand Audio Transcription using Public Infrastructure
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