In-depth analysis of 5 PEFT techniques for large model fine-tuning, including LoRA, LoRA-FA, VeRA, Delta-LoRA, and LoRA+. Learn the principles, characteristics, and application scenarios to choose the best fine-tuning solution for your needs.

When model parameters exceed the trillion level, MoE becomes almost the only choice. It perfectly balances the contradiction between model "capacity" and "computational cost".

RenderFormer brings one of the most powerful models in AI—Transformer—into the field of 3D rendering.

RAG (Retrieval-Augmented Generation) systems combine the generative power of large language models (LLMs) with the retrieval capabilities of external knowledge bases to provide more accurate and timely answers, effectively mitigating the "hallucination" problem of LLMs.

A2A, MCP, AI Agent, Agent Card

AI Agent, Core Thinking Patterns, Large Language Models (LLMs)

Data and mathematical knowledge in artificial intelligence, AI, data, mathematics

Linear Algebra:The Mathematical Foundation of AI Large Models, Vectors, Matrices, Tensors, Matrix Multiplication, Linear Transformations, Eigenvalues and Eigenvectors, Singular Value Decomposition (SVD)

MCP Server, MCP, AI's USB interface, provides a standardized, secure, and extensible way for AI applications to access and utilize external information and capabilities

Artificial Intelligence Neural Networks, Neural Networks, Artificial Neural Networks, Neuron