We recently made a breakthrough in ml model deployment with our partners at Snowflake that reduces the cost of inferencing by 3000% Check out the full story: https://
medium.com/snowflake/the-
cost-saving-benefits-of-faster-scoring-in-snowflake-with-h2o-ai-0964c8d0c3e9
… #H2Oai #Snowflake #Snowpark #Inferencing #MachineLearning #AI #CostEfficiency
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H2O AI and Snowflake Reduce Inferencing Costs by 3000%
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Emerging RAG patterns and best practices with DataStax
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While the space is still new, we're starting to see a few common patterns and trends emerge, especially around RAG We've teamed up with our friends at @DataStax to try to codify some of them! https://
t.co/i66mIHgU28 -

ML Algorithms and MLOps: Beyond the LLM Hype
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Amidst all the buzz and hype surrounding LLMs, we want to bring a brief spotlight on ML algorithms. Most algorithms have to do with tabular data and there are multiple steps involved in iterating and maintaining machine learning models in production. Using an MLOps platform
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RAG vs Fine-Tuning: Agricultural Domain Case Study
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RAG vs. Fine-Tuning – A Case Study on Agriculture Our customers commonly ask us if we can fine-tune the LLM for their domain. Of course we can, but it depends on data! If you have several supervised examples, we can fine-tune a model. Additionally, RAG + fine-tuning will
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SAS Named Leader in AI and Data Analytics Categories
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See why top analyst firms name SAS a leader in key business and tech categories. And register to join us at #SASInnovate this spring in Las Vegas (April 16-19) to experience the very latest in data and AI, first-hand!
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SAS Innovate 2026: Early Bird Discount on Cloud Analytics AI Sessions
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The early bird gets the worm, but in this case the super-early bird gets a discount on SAS Innovate registration . 100+ expert-led sessions with best practices & cutting-edge technologies, await! Rate ends on Feb. 2. http://
2.sas.com/6014pzF2Y #CloudAnalytics #AI #SASInnovate -

SAS Viya Enhances Data Modeling with Responsible AI Accountability
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SAS Viya makes data modeling not only faster but more reliable–all while bringing accountability to AI. http://
2.sas.com/6016TvfMk #ResponsibleAI #SASViya -

Building Enterprise RAG Systems: Key Components and Failure Points
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A very good blog post by @nlpguy_ on "Building Enterprise RAG Systems" that covers Common failure points of RAG systems Guardrails on inputs and outputs Retrieval part including query rewriter, encoder, chunker, reranker. Storage part including indexer, data
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Master Databricks Data Engineering Professional Certification
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Ready to level up your data engineering skills? The Databricks Certified Data Engineer Professional certification exam will test your knowledge of the Databricks platform and tools like #ApacheSpark, #DeltaLake, and #MLflow. Register here: https://
dbricks.co/3UlRaj7 -
Depth Anything: Monocular Depth Estimation from Unlabeled Data
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1/ Depth Anything – a monocular depth estimation solution that can deal with any images under any circumstance; proposes effective strategies to leverage the power of the large-scale unlabeled data (~62M) which helps to reduce generalization error.https://t.co/cOXWWextRV
— DAIR.AI (@dair_ai) 28 janvier 20241/ Depth Anything – a monocular depth estimation solution that can deal with any images under any circumstance; proposes effective strategies to leverage the power of the large-scale unlabeled data (~62M) which helps to reduce generalization error.