Blog/Snowflake AI Research

Snowflake AI Research

We are a team with extensive experience building systems and technology that have significantly reduced the cost of LLM training and inference. A lot of our work has been open-sourced to provide the AI community with more accessible and cost-effective LLMs. The team includes many specialists in natural language processing and search. With the help of thousands of engineers worldwide at Snowflake, our cutting-edge technology powers enterprise AI products in Cortex AI and more. To meet the individual experts driving innovation, and their research check out our webpage.

JUN 03, 2025Gen AI

Inside Snowflake Intelligence: Five Pillars of Enterprise-Grade Agentic AI

Yuxiong He +4

DEC 05, 2024Gen AI

SwiftKV: Accelerating Enterprise LLM Workloads with Knowledge Preserving Compute Reduction

Snowflake AI Research

NOV 19, 2024Gen AI

Benchmarking LLMs on Writing Feature Engineering Code

Lukasz Borchmann +1

AUG 27, 2024Gen AI

The Recipe for Success: Blending Data for Better LLM Pretraining

Filip Graliński +2

JUL 23, 2024Gen AI

Fine-Tuning Llama 3.1 405B on a Single Node using Snowflake’s Memory-Optimized AI Stack

Snowflake AI Research

JUL 23, 2024Gen AI

Achieve Low-Latency and High-Throughput Inference with Meta's Llama 3.1 405B using Snowflake’s Optimized AI Stack

Snowflake AI Research

JUL 18, 2024

Snowflake Arctic Embed M v1.5: Hitting the ROI Sweet Spot for Enterprise Retrieval

Luke Merrick +1

JUL 11, 2024

Snowflake Arctic Cookbook Series: A Deep Dive into LLM Evaluation Standards

Snowflake AI Research

JUN 17, 2024Gen AI

Moving Beyond MTEB and BEIR: Snowflake AI Research Joins Forces with the University of Waterloo to Evolve RAG and Retrieval Benchmarks

Snowflake AI Research

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Snowflake AI Research

Inside Snowflake Intelligence: Five Pillars of Enterprise-Grade Agentic AI

SwiftKV: Accelerating Enterprise LLM Workloads with Knowledge Preserving Compute Reduction

Benchmarking LLMs on Writing Feature Engineering Code

The Recipe for Success: Blending Data for Better LLM Pretraining

Fine-Tuning Llama 3.1 405B on a Single Node using Snowflake’s Memory-Optimized AI Stack

Achieve Low-Latency and High-Throughput Inference with Meta's Llama 3.1 405B using Snowflake’s Optimized AI Stack

Snowflake Arctic Embed M v1.5: Hitting the ROI Sweet Spot for Enterprise Retrieval

Snowflake Arctic Cookbook Series: A Deep Dive into LLM Evaluation Standards

Moving Beyond MTEB and BEIR: Snowflake AI Research Joins Forces with the University of Waterloo to Evolve RAG and Retrieval Benchmarks

Where Data Does More