Nik Spirin – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-02-17T05:28:02Z http://www.open-lab.net/blog/feed/ Nik Spirin <![CDATA[Streamline Evaluation of LLMs for Accuracy with NVIDIA NeMo Evaluator]]> http://www.open-lab.net/blog/?p=80412 2025-02-17T05:28:02Z 2024-03-27T18:00:00Z Large language models (LLMs) have demonstrated remarkable capabilities, from tackling complex coding tasks to crafting compelling stories to translating natural...]]>

Large language models (LLMs) have demonstrated remarkable capabilities, from tackling complex coding tasks to crafting compelling stories to translating natural language. Enterprises are customizing these models for even greater application-specific effectiveness to deliver higher accuracy and improved responses to end users. However, customizing LLMs for specific tasks can cause the model…

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Nik Spirin <![CDATA[NVIDIA NIM Offers Optimized Inference Microservices for Deploying AI Models at Scale]]> http://www.open-lab.net/blog/?p=79467 2024-06-03T15:44:17Z 2024-03-18T22:00:00Z The rise in generative AI adoption has been remarkable. Catalyzed by the launch of OpenAI��s ChatGPT in 2022, the new technology amassed over 100M users within...]]>

The rise in generative AI adoption has been remarkable. Catalyzed by the launch of OpenAI’s ChatGPT in 2022, the new technology amassed over 100M users within months and drove a surge of development activities across almost every industry. By 2023, developers began POCs using APIs and open-source community models from Meta, Mistral, Stability, and more. Entering 2024…

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Nik Spirin <![CDATA[Mastering LLM Techniques: LLMOps]]> http://www.open-lab.net/blog/?p=73575 2023-12-08T18:53:36Z 2023-11-15T18:00:00Z Businesses rely more than ever on data and AI to innovate, offer value to customers, and stay competitive. The adoption of machine learning (ML), created a need...]]>

Businesses rely more than ever on data and AI to innovate, offer value to customers, and stay competitive. The adoption of machine learning (ML), created a need for tools, processes, and organizational principles to manage code, data, and models that work reliably, cost-effectively, and at scale. This is broadly known as machine learning operations (MLOps). The world is venturing rapidly into…

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