Scientific research in complex fields like battery innovation is often slowed by manual evaluation of materials, limiting progress to just dozens of candidates per day. In this blog post, we explore how domain-adapted large language models (LLMs), enhanced with reasoning capabilities, are transforming scientific research, especially in high-stakes, complex domains like battery innovation.
]]>Large language models (LLMs) are some of the most advanced deep learning algorithms that are capable of understanding written language. Many modern LLMs are built using the transformer network introduced by Google in 2017 in the Attention Is All You Need research paper. NVIDIA NeMo framework is an end-to-end GPU-accelerated framework for training and deploying transformer-based LLMs up to a…
]]>Whole genome sequencing has become an important and foundational part of genomic research, enabling researchers to identify genetic signatures associated with diseases, differentiate sequencing errors from biological signals, and better characterize the genomes of various organisms. With the ongoing COVID-19 pandemic threatening the globe, characterizing, and understanding genomes is now more…
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