When you apply customer-centric techniques to building in-house software, you get more efficient and engaged teams. Learn from this UX team's experience in @MindtheProduct https://
bit.ly/40SuaLr #ux #opensource #productdev
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Customer-Centric UX Techniques for Building In-House Software
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Training 3D Gaussian Splatting Models to Remove Floaters
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If you’ve been using 3D Gaussian Splatting (3DGS) to create 3D representations of an environment, you might be familiar with the challenge of "floaters," which can be very difficult to remove.https://t.co/gErqAKXB5Q
— Satya Mallick (@LearnOpenCV) 28 janvier 2025
In this article, we demonstrate how to train your 3DGS model… pic.twitter.com/1b80bf386vIf you’ve been using 3D Gaussian Splatting (3DGS) to create 3D representations of an environment, you might be familiar with the challenge of "floaters," which can be very difficult to remove. https://
learnopencv.com/object-inserti
on-in-gaussian-splatting/
… In this article, we demonstrate how to train your 3DGS model -

Generative AI Primer Course for Software Professionals
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Good morning! Today, we start the new series of videos for our most recent Towards AI course: 8-hour Generative AI Primer for Software Professionals! In this one, we dive into the classic first remark about LLMs and generative AI: “Cool tech buzzwords, but do I really need to
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Production AI Engineering Starts with Evals
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"Why does Production AI Engineering start with Evals?"
— Latent.Space (@latentspacepod) 28 janvier 2025
the AI Engineer SDLC, silly
next in our @lizziepika lightboard series of short explainers (again, need to reshoot with better markers and idea of where the camera ends, but just trying out this new format)
h/t to @doppenhe… https://t.co/4TSaiWOAJc pic.twitter.com/ED2nFmL8Ke"Why does Production AI Engineering start with Evals?" the AI Engineer SDLC, silly next in our @lizziepika lightboard series of short explainers (again, need to reshoot with better markers and idea of where the camera ends, but just trying out this new format) h/t to @doppenhe
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Reinforcement Learning Introduction by Sutton and Barto PDF
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"Reinforcement Learning: An Introduction" Richard S. Sutton and Andrew G. Barto FULL PDF: http://
incompleteideas.net/book/RLbook202
0.pdf
… #Artificialintelligence #DeepLearning #ReinforcementLearning -

Building Custom Tools with OpenAI o1 for SWE-Bench
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🆕 short pod – how @shawnup got SOTA SWE-Bench Verified
— Latent.Space (@latentspacepod) 28 janvier 2025
with @openai o1… by building his own tools (on @weights_biases Weave) to look at data! https://t.co/clyqvZNhHQ pic.twitter.com/ALmUSSAjiJshort pod – how @shawnup got SOTA SWE-Bench Verified with @openai o1… by building his own tools (on @wandb Weave) to look at data!
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llama.cpp enables easy local model execution
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llama.cpp is the best! It’s wild that one can run a model of this size at the click of a button
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Build and Deploy Production-Grade AI Agents at Hacking
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Hey, #devs! Join @v_mohan_ at the #Hacking Agents event by @DataStax & dive into the world of AI-powered agents! Build & deploy production-grade #AI agent Attend workshops & talks Learn tools & tricks shaping the future of AI Register now
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Adding Official OpenAI Transformer Weights to Notebook
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Ah nice! I thought they only had the transformer-library-formatted weights on the hub! In that case, I can actually add that to the notebook directly. Cool stuff! (Btw the reason why I opted for the OpenAI Tf ones was that they were the original/official ones)
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Loading weights from Hugging Face model hub as alternative
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Sorry about the hassle loading the weights directly. But I actually have some bonus material on that to load them from the HF model hub as an alternative (should be referenced in the book itself):