LLMs, like ChatGPT, often rely on fixed datasets, resulting in outdated responses and challenges in updating knowledge without retraining. RAG, including Graph RAG, addresses this by integrating external knowledge bases and enriching responses with current information for improved accuracy and depth.
This project involves applying recently acquired DevOps skills to construct a comprehensive data platform and update analytics daily. Dorian streamlines data processing and workflow orchestration using modern tools like Snowflake, Airbyte, and DBT, prioritizing simplicity and functionality in their approach.
Platform engineering offers immense potential for enhancing organizational efficiency and developer experience. Yet navigating its complexities requires addressing challenges such as conflicting objectives, ambiguous goals, and the urgency of adoption. Drawing from firsthand experiences implementing IDPs and CDaaS, this text will highlight five key insights for successful platform initiatives.
Learn how to empower creators by real-time sentiment analysis with Apache Flink to decipher audience emotions to steer content for viewer satisfaction.
The course is split into 11 lessons. Every Medium article will be its own lesson.
- An End-to-End Framework for Production-Ready LLM Systems by Building Your LLM Twin
- The importance of Data Pipelines in the Era of Generative AI
- CDC [Module 1] …WIP
- Streaming ingestion pipeline [Module 2] …WIP
- Vector DB retrieval clients [Module 2] …WIP
- Training data preparation [Module 3] …WIP
- Fine-tuning LLM [Module 3] …WIP
- LLM evaluation [Module 4] …WIP
- Quantization [Module 5] …WIP
- Build the digital twin inference pipeline [Module 6] …WIP
- Deploy the digital twin as a REST API [Module 6] …WIP
Rubens explored the free "Knowledge Graphs for RAG" course. This course meticulously details the creation of Knowledge Graphs from SEC forms, defining nodes and relationships. The individual aims to replicate their results by combining code snippets and visualizing the Knowledge Graph using Neo4j Workspace. Check out how it went.
This post will explore how Dremio's data lakehouse platform simplifies your data delivery for business intelligence by doing a prototype version that can run on your laptop.
GID Data Copilot - An extensible AI programming assistant for SQL and dbt code:
- Powered by Large Language Models (SOTA LLMs)
- Robust Retrieval Augmented Generation (RAG) architecture
- Hybrid search techniques
- Fast Vector Database
- Curated Prompts
- Builtin Data commands
The home team is joined by Michael Foree, Stack Overflow’s director of data science and data platform, and occasional cohost Cassidy Williams, CTO at Contenda, for a conversation about long context windows, retrieval-augmented generation, and how Databricks’ new open LLM could change the game for developers.
Key Takeaways:
- Learn how to create and run a deep learning model.
- Learn how to perform machine learning workflows in PyTorch Lightning.
- See how Lightning Studio can be used for deep learning and AI development.