Chris GreenwoodinThe RiffTime For A Tune-UpDidn’t know you signed up to be a mechanic when you got a guitar?Sep 30
Ivan NardiniinGoogle Cloud - CommunityLevel Up your RAG: Tuning Embeddings on Vertex AIIn this article, you will learn how to tune the textembedding-gecko text embedding model for adapting to your retrieval-specific domain…Apr 291
Ajaykumar DevOptimizing and tuning Spark Applications 1.In this blog, we will explore several configurations in Spark that are used to optimize map, shuffle, spill, and merge operations.May 21May 21
sbagencyPrompt tuning + RAG // FT no needLLMs are good at in-context learning // more specific, precise and parameterized prompts + RAG yield better results.Sep 15Sep 15
Chris GreenwoodinThe RiffTime For A Tune-UpDidn’t know you signed up to be a mechanic when you got a guitar?Sep 30
Ivan NardiniinGoogle Cloud - CommunityLevel Up your RAG: Tuning Embeddings on Vertex AIIn this article, you will learn how to tune the textembedding-gecko text embedding model for adapting to your retrieval-specific domain…Apr 291
Ajaykumar DevOptimizing and tuning Spark Applications 1.In this blog, we will explore several configurations in Spark that are used to optimize map, shuffle, spill, and merge operations.May 21
sbagencyPrompt tuning + RAG // FT no needLLMs are good at in-context learning // more specific, precise and parameterized prompts + RAG yield better results.Sep 15
Aditya KhajuriaOptimize SparkSQL to read large Parquet files using SpringBootFollow the above story for a generic Parquet files processing using SpringBoot and Spark.Sep 7
Mew Leenutaphonginibm-watsonx-thInstructLAB and Synthethic data generation with llama3 models — extending to Thai languageWe will be using instructLAB as a tool to help generate, train, and serve models using a local MAC notebook and IBM watsonx llama3 models…Aug 6
