In today’s landscape of AI-driven recruitment, candidate-job matching models play a pivotal role in enhancing the hiring process’s efficiency and effectiveness. This necessitates rigorous evaluation to ensure fairness and equity....
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...
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