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Discover the key differences between Large Language Models (LLMs) and Small Language Models (SLMs) in this 11-minute technical video featuring insights from NVIDIA expert Jay Rodge. Learn to identify appropriate use cases for each model type, starting with defining your specific AI application needs before selecting the right approach. Explore open-source tools and frameworks including NVIDIA's NeMo Framework, Hugging Face, and TensorRT-LLM that enable local AI development. Understand the advantages of SLMs, particularly their ability to run locally with reduced latency, while recognizing when accuracy requirements may necessitate larger models instead. Examine the critical role of guardrails in AI applications and the trade-offs between model size, performance, and resource requirements. Dive into optimization techniques including quantization methods that improve model efficiency. Get introduced to the latest NVIDIA GeForce RTX 50 Series hardware and its impact on local AI development capabilities. Conclude with practical applications of AI-powered coding assistance tools that can enhance developer productivity.
