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Spark NLP Blog

State of the Art Natural Language Processing at Scale.

The RAG ingestion problem In real-world RAG systems, the quality of the final answer is constrained by the quality of the indexed representation. If the ingestion layer fails to capture...

TL;DR: Spark NLP’s upgraded Llama.cpp backend now supports a wider range of modern LLM families, including quantized and multimodal models. The integration delivers faster, memory-efficient inference and seamless Spark pipeline...

John Snow Labs is thrilled to introduce a powerful set of new ONNX based clinical Named Entity Recognition (NER) models for English, Italian, and Spanish, in its’ most recent release...

Hear Me Out: How to Convert Your Voice to Text with Spark NLP and Python Automatic Speech Recognition — ASR (or Speech to Text) is an essential task in Natural...

Vector representations of texts longer than a word in natural language processing (NLP) refer to representing a sequence of words, chunks, or sentences as a vector in a high-dimensional space....