Post navigation
Similar Posts
RAG shows its work. That’s not the same as being right.
ByRicardoAt the Generative AI Summit Austin, Ramkumar Shanker took the important stage to ship a keynote that lower via the hype: the period of third-party cookies is over, and the publishers who will win are these that may flip consented, first-party alerts into that means, at scale, with accountability. Shanker brings a uncommon twin perspective…
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 However, standalone LLMs have key limitations such as hallucinations, outdated knowledge, and no access to proprietary data.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,…
Instruction Tuning for Large Language Models
ByRicardoThe mannequin is uncovered to numerous examples of directions, starting from easy queries to complicated multi-step duties. This helps the mannequin be taught to interpret and execute directions precisely, making it extra usable and adaptable. To strengthen LLMs’ capacity to understand and act on directions, instruction tuning datasets from LLM information firms like Cogito Tech…
