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tilde-research-introduces-aurora:-a-leverage-aware-optimizer-that-fixes-a-hidden-neuron-death-problem-in-muon

Tilde Research Introduces Aurora: A Leverage-Aware Optimizer That Fixes a Hidden Neuron Death Problem in Muon

Source: MarkTechPost Researchers at Tilde Research have released Aurora, a new optimizer for training neural networks that addresses...
May 12, 2026
a-coding-implementation-to-portfolio-optimization-with-skfolio-for-building-testing,-tuning,-and-comparing-modern-investment-strategies

A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies

Source: MarkTechPost In this tutorial, we explore skfolio, a scikit-learn compatible portfolio optimization library that helps us build,...
May 12, 2026
understanding-llm-distillation-techniques 

Understanding LLM Distillation Techniques 

Source: MarkTechPost Modern large language models are no longer trained only on raw internet text. Increasingly, companies are...
May 11, 2026
how-to-build-technical-analysis-and-backtesting-workflow-with-pandas-ta-classic,-strategy-signals,-and-performance-metrics

How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics

Source: MarkTechPost In this tutorial, we implement how to use pandas-ta-classic to build a complete technical analysis and...
May 11, 2026
meta-and-stanford-researchers-propose-fast-byte-latent-transformer-that-reduces-inference-memory-bandwidth-by-over-50%-without-tokenization

Meta and Stanford Researchers Propose Fast Byte Latent Transformer That Reduces Inference Memory Bandwidth by Over 50% Without Tokenization

Source: MarkTechPost A team of researchers from Meta, Stanford University, and the University of Washington have introduced three...
May 11, 2026
sakana-ai-and-nvidia-introduce-twell-with-cuda-kernels-for-205%-inference-and-21.9%-training-speedup-in-llms

Sakana AI and NVIDIA Introduce TwELL with CUDA Kernels for 20.5% Inference and 21.9% Training Speedup in LLMs

Source: MarkTechPost Scaling large language models (LLMs) is expensive. Every token processed during inference and every gradient computed...
May 11, 2026
how-to-build-a-cost-aware-llm-routing-system-with-nadirclaw-using-local-prompt-classification-and-gemini-model-switching

How to Build a Cost-Aware LLM Routing System with NadirClaw Using Local Prompt Classification and Gemini Model Switching

Source: MarkTechPost In this tutorial, we explore NadirClaw as an intelligent routing layer that classifies prompts into simple...
May 10, 2026
nvidia-ai-just-released-cuda-oxide:-an-experimental-rust-to-cuda-compiler-backend-that-compiles-simt-gpu-kernels-directly-to-ptx

NVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX

Source: MarkTechPost NVIDIA AI researchers recently released cuda-oxide, an experimental compiler that allows developers to write CUDA SIMT...
May 10, 2026
nvidia-ai-releases-star-elastic:-one-checkpoint-that-contains-30b,-23b,-and-12b-reasoning-models-with-zero-shot-slicing

NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing

Source: MarkTechPost Training a family of large language models (LLMs) has always come with a painful multiplier: every...
May 9, 2026
meet-github-spec-kit:-an-open-source-toolkit-for-spec-driven-development-with-ai-coding-agents

Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents

Source: MarkTechPost If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI...
May 9, 2026
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