The term Graph RAG has become quite the buzzword in the industry lately, due to the popularity of knowledge graphs in “grounding” LLMs with domain-specific factual information. The aim of...
Spark NLP 5.5 dramatically enhances the landscape of large language model (LLM) inference. This major release introduces native integration with Llama.cpp, unlocking access to tens of thousands of GGUF models...
Recent advancements in Large Language Models (LLMs) have been largely driven by enhancements in pre-training datasets. New data curation strategies are being explored, including leveraging synthetic data not only to...
Builders and buyers of AI systems are required to test and show that their systems comply with legislation – on safety, discrimination, privacy, transparency, and accountability. This talk covers recent...
Learn how the open-source Spark NLP library provides optimized and scalable LLM inference for high-volume text and image processing pipelines. This session dives into optimized LLM inference without the overhead of commercial...
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