PinnedPaul IusztininDecoding MLAn End-to-End Framework for Production-Ready LLM Systems by Building Your LLM TwinFrom data gathering to productionizing LLMs using LLMOps good practices.Mar 1612Mar 1612
PinnedPaul IusztininDecoding MLThe LLMs kit: Build a production-ready real-time financial advisor system using streaming…Lesson 1: LLM architecture system design using the 3-pipeline patternJan 5Jan 5
PinnedPaul IusztininTowards Data ScienceA Framework for Building a Production-Ready Feature Engineering PipelineLesson 1: Batch Serving. Feature Stores. Feature Engineering Pipelines.Apr 28, 202311Apr 28, 202311
Paul IusztininDecoding MLArchitect scalable and cost-effective LLM & RAG inference pipelinesDesign, build and deploy RAG inference pipeline using LLMOps best practices.Jun 11Jun 11
Paul IusztininDecoding MLThe 4 Advanced RAG Algorithms You Must Know to ImplementImplement from scratch 4 advanced RAG methods to optimize your retrieval and post-retrieval algorithmMay 410May 410
Paul IusztininDecoding MLSOTA Python Streaming Pipelines for Fine-tuning LLMs and RAG — in Real-Time!Use a Python streaming engine to populate a feature store from 4+ data sourcesApr 20Apr 20
Paul IusztininDecoding MLA Real-time Retrieval System for RAG on Social Media DataUse a streaming engine to populate a vector DB in real-time. Improve RAG accuracy using rerank & UMAP.Mar 30Mar 30
Paul IusztininDecoding MLFix your messy ML configs in your Python projects2024 MLOps learning roadmap. Python syntax sugar that will help you write cleaner code.Mar 22Mar 22
Paul IusztininDecoding MLLearn an end-to-end framework for production-ready LLM systems by building your LLM twinWhy you should take our new production-ready LLMs courseMar 151Mar 151
Paul IusztininDecoding ML4 key decoding strategies for LLMs that you must knowThe only 6 prompt engineering techniques you need to know. One thing that I do that sets me apart from the crowd.Mar 1Mar 1