At Dagster Labs, their mission is to help organizations build effective data platforms by embracing specific beliefs. In this post, they'll explore them and how they shape the design principles behind Dagster.
This blog explores the challenges encountered by various teams and Urban's journey in addressing them through a unified solution called the Common Computation Framework (CCF).
Let’s compare the two frameworks in completing four common tasks:
- Connecting to a local LLM instance and building a chatbot.
- Indexing local files and building a RAG system.
- Combining the two above and making a chatbot with RAG capabilities.
- Converting the chatbot into an agent so that it may use more tools and do simple reasoning.
Read about how RAG works, how it helps LLMs, and why it’s so important for making computer programs smarter in understanding and using language.
Let's implement a concept to improve retrieval that can be useful for contect aware text processing where we would also consider the surrounding context of a sentence to understand valuable insights.
How to use UMAP dimensionality reduction for Embeddings to show Questions, Answers and their relationships to source documents with OpenAI, Langchain and ChromaDB.
A journey through MLflow, a favorite platform among MLOps practitioners. Just like an iceberg, MLflow has its visible features and a trove of powerful tools hidden beneath the surface. We'll explore everything from basics like metrics logging to nuanced deployment challenges and recent LLM features.
Rivian's data platform is vital for managing vehicle data across commerce and reliability. Rivian quickly identifies issues and insights in their electric vehicles using real-time processing. Learn how they build and maintain this platform with Amazon MSK and AWS services.
Meta engineers discuss their contributions to the latest Python release, including custom JITs, type system improvements, and faster comprehensions. They share insights on their collaboration with the Python community.
Join RADAR: The Analytics Edition—a free digital event exploring transformative outcomes with business intelligence and analytics.
Agenda:
- A Tipping Point in Data Democratization
- The Art of Data Storytelling: Driving Impact with Analytics
- ChatGPT & Generative AI: Boon or Bane for Data Democratization?
- Scaling Data ROI: Driving Analytics Adoption Within Your Organization
- Building a Learning Culture for Analytics Functions
- From Data Governance to Data Discoverability: Building Trust in Data Within Your Organization