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Building enterprise-scale RAG applications with Amazon S3 Vectors and DeepSeek R1 on Amazon SageMaker AI
ByRicardoOrganizations are adopting large language models (LLMs), such as DeepSeek R1, to transform business processes, enhance customer experiences, and drive innovation at unprecedented speed. However, standalone LLMs have key limitations such as hallucinations, outdated knowledge, and no access to proprietary data. Retrieval Augmented Generation (RAG) addresses these gaps by combining semantic search with generative AI,…
LLM Training Data Optimization: Fine-Tuning, RLHF & Red Teaming
ByRicardoIn response to those challenges, the business’s focus is now shifting from sheer scale to knowledge high quality and area experience. The once-dominant “scaling legal guidelines” period—when merely including extra knowledge reliably improved fashions—is fading, paving the best way for curated, expert-reviewed datasets. As a end result, firms more and more focus on knowledge high…
Making LLMs more accurate by using all of their layers
ByRicardoAlgorithms & Theory
