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Thinking Machines Lab Releases Inkling: A 975B-Parameter Open-Weights Multimodal MoE With 41B Active Parameters And Controllable Thinking Effort
Thinking Machines Lab just released Inkling, their first model trained from scratch, weights are open, fine-tunable on Tinker. The lab pitches it as a base…
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Soofi Consortium Releases Soofi S 30B-A3B: An Open Hybrid Mamba-Transformer MoE Foundation Model For German And English
A German research consortium has published the pretraining report for Soofi S…
How I Mastered Data Structures and Algorithms for ML (In 6 Weeks)
, I’ve passed over 90% of coding interviews, and it’s not because…
One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation
Visual generative models (e.g., diffusion models) typically operate in compressed latent spaces…
Building a Gin Config Controlled PyTorch Pipeline with Configurable MLP Variants, Cosine Scheduling, and Runtime Parameter Overrides
In this tutorial, we implement a Gin Config–controlled PyTorch experiment pipeline in…
Building Trustworthy Production RAG Systems Through Continuous Evaluation
then you’ve already been through this situation when it looks like your…
Most RAG Hallucinations Are Retrieval Failures: How the Retrieval Brick Decides What the Model Can Invent
a confident wrong answer, the instinct is to reach for the generation…
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