Evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems is a complex and nuanced process, reflecting the sophisticated and multifaceted nature of these systems. Unlike traditional machine learning (ML) models, LLMs generate a wide range of diverse and often unpredictable outputs, making standard evaluation metrics insufficient. Key challenges include the…
]]>The Llama-3.1-Nemotron 70B-Reward model helps generate high-quality training data that aligns with human preferences for finance, retail, healthcare, scientific research, telecommunications, and sovereign AI. This post was updated on August 16, 2024 to reflect the most recent Reward Bench results. Since the introduction and subsequent wide adoption of large language models (LLMs)…
]]>Large language models (LLMs) are revolutionizing data science, enabling advanced capabilities in natural language understanding, AI, and machine learning. Custom LLMs, tailored for domain-specific insights, are finding increased traction in enterprise applications. The NVIDIA Nemotron-3 8B family of foundation models is a powerful new tool for building production-ready generative AI…
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