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.
]]>Domain-adaptive pretraining (DAPT) of large language models (LLMs) is an important step towards building domain-specific models. These models demonstrate greater capabilities in domain-specific tasks compared to their off-the-shelf open or commercial counterparts. Recently, NVIDIA published a paper about ChipNeMo, a family of foundation models that are geared toward industrial chip design…
]]>There are three main ways to accelerate GPU applications: compiler directives, programming languages, and preprogrammed libraries. Compiler directives such as OpenACC aIlow you to smoothly port your code to the GPU for acceleration with a directive-based programming model. While it is simple to use, it may not provide optimal performance in certain scenarios. Programming languages such as…
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