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Path-Constrained Mixture-of-Experts – Apple Machine Learning Research

Sparse Mixture-of-Experts (MoE) architectures route each token through a subset of experts at each layer independently. We propose viewing MoE computation through the lens of

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Training Gemma-3 for Structured Mathematical Reasoning with Tunix GRPO, LoRA Adapters, and GSM8K Rewards

import importlib.util, os, shutil as _sh if importlib.util.find_spec("tunix") is None: print("Installing Tunix

Meituan Releases LongCat-2.0: A 1.6T-Parameter Open MoE Model with Native 1M Context and LongCat Sparse Attention

Meituan has released LongCat-2.0, a large-scale Mixture-of-Experts (MoE) language model. It carries

Assemble Each RAG Generation Prompt from a Base Prompt Plus the Rules Each Question Needs

part of the generation brick of Enterprise Document Intelligence, a series that

PANet Paper Walkthrough: When Feature Pyramids Go Bottom-Up

I wrote about the FPN (Feature Pyramid Network) architecture , which is

LlamaIndex ‘legal-kb’: Agentic Retrieval over Index v2 with retrieve, find, read, and grep Tools

import { LlamaCloud } from '@llamaindex/llama-cloud' import { tool, ToolLoopAgent } from

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