Read about a framework that leverages active learning and large vision-language models to streamline the annotation process, empowering domain experts and enhancing model efficiency.
In this blog post, the author discusses the necessity for data teams to prove their value in today's economic climate, the importance of productionizing data, and practical steps to support operational use cases effectively. The post explores how data teams can demonstrate their impact and navigate the complexities of operationalizing analytical data.
Apache Iceberg is a table format designed for data lakehouses. It offers both ACID transactions and rich metadata to enhance performance. This article explores the powerful mechanisms within Iceberg that enable query engines, such as Dremio, to optimize data queries and improve overall efficiency.
Explore the challenge of balancing speed and accuracy in Lyft's ETA predictions, using machine learning and real-time data to enhance reliability. By understanding and addressing various factors impacting ETAs, Lyft aims to provide riders with timely and dependable arrival estimates.
At Octomind, the team employs AI agents with multiple LLMs to automate end-to-end tests in Playwright. In this blog post, they share their experience transitioning away from the LangChain framework due to its rigid high-level abstractions. Switching to modular building blocks simplified their codebase and significantly boosted their productivity and satisfaction.
In this article, Marek compares different types of joins available in the Flink SQL engine for effective and efficient stream enrichment.
This blog series explores Pinterest's integration of Ray to address critical business challenges. The current installment details the complexities of implementing Ray in a large-scale environment, covering the journey from initial prototypes to production readiness.
Meryem Arik, Co-founder/CEO at TitanML, discusses innovations in Generative AI and LLMs, covering the current state of LLMs, their deployment, state-of-the-art RAG applications, and the inference architecture stack for LLM applications.
This demo showcases how RelationalAI, deeply integrated with the Snowflake Data Cloud, can uncover user behavior patterns by running powerful graph algorithms directly on your existing Snowflake data.
Join one of our four specialized Data Science, Data Analysis, Analytics Engineering, or Data Literacy cohorts. Each cohort offers targeted, hands-on training sessions scheduled throughout the week for an immersive learning experience.