Translation En Acción: A Model Built for the Real Business World
Many enterprise customers with global businesses need to translate various…
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SwiftKV: Accelerating Enterprise LLM Workloads with Knowledge Preserving Compute Reduction
Large language models (LLMs) are at the heart of transformative enterprise AI…
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Snowflake’s Arctic Embed 2.0 Goes Multilingual: Empowering Global-Scale Retrieval with Inference Efficiency and High-Quality Retrieval
Snowflake is excited to announce the release…
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Benchmarking LLMs on Writing Feature Engineering Code
Today, the limitations of LLMs are predominantly assessed using benchmarks focused on language understanding, world…
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Snowflake Cortex Analyst: Introducing Joins for Star and Snowflake Schemas
Building a reliable text-to-SQL product is a challenging journey, and it becomes…
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Snowflake Cortex Analyst: Support for Multi-turn Conversation
Snowflake Cortex Analyst has stood out as a trustworthy self-service analytics tool by providing a…
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Snowflake Cortex Analyst and Cortex Search: Better Together
Snowflake Cortex Analyst is a fully managed, LLM-powered service that provides a natural language…
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Best Practices for Getting Started with Snowflake’s Document AI
Transforming unstructured data to value During the preview of Snowflake’s Document AI,…
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Straight A’s: You Can’t Spell RAG Without Augmentation
Retrieval-augmented generation (RAG) is a significant advancement in AI, combining the strengths…
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LLM Interactive Workloads: Optimizing GPU Capacity for Interactive and Batch Workloads
At Snowflake, we offer a wide variety of LLM-powered features in…
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