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...
This talk presents new levels of accuracy that have very recently been achieved, on public and independently reproducible benchmarks, on the three most common use cases for language models in...
This webinar presents key findings from the 2024 Generative AI in Healthcare Survey, conducted in February & March of 2024 by Gradient Flow to assess the key use cases, priorities, and...
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