Transformers

A comprehensive technical guide on using NVIDIA NeMo AutoModel to optimize and scale the fine-tuning of Transformers models, bridging the gap between Hugging Face and enterprise-grade distributed training.

A deep-dive tutorial on the evolution of search technology, covering lexical matching, static embeddings, Bi-Encoders, and modern LLM-powered reranking with code implementations.

Explore the latest updates in PaddleOCR 3.5, featuring its integration with the Transformers backend, PP-OCRv4 enhancements, and high-performance document parsing for RAG pipelines.