LLMs Need Real-Time Data to Deliver Contextual Results

Large Language Models (LLMs) were initially designed for language generation, not real-time decision support, knowledge sharing, or data extraction. Their expected functionality was to predict and generate human-like text by learning statistical patterns in large amounts of language data. But with the popularization of Generative AI (GenAI) use cases, the original intent of LLMs has practically become an obstacle, especially...
Lessons from Rollbar on how to improve (10x to 20x faster) large dataset query speeds with Clickhouse and mySQL

At Rollbar, we recently completed a significant overhaul of our Item Search backend. The previous system faced performance limitations and constraints on search capabilities. This post details the technical challenges, the architectural changes we implemented, and the resulting performance gains. Overhauling a core feature like search is a significant undertaking. By analyzing bottlenecks and applying specialized data stores (optimized MySQL...
Gate: AI and Automation Scenario Explorer

Overview The Growth and AI Transition Endogenous (GATE) model is an integrated assessment model of the impact of AI development on the economy. To accompany our paper describing the GATE model in detail, we have developed a playground that allows interested readers to modify parameter settings and observe the model’s behavior in a wide range of scenarios. In this documentation, we describe the...
Karpathy’s ‘Vibe Coding’ Movement Considered Harmful

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Show HN: Bknd – Firebase alternative that embeds into any React stack

⭐ Live Demo bknd simplifies app development by providing a fully functional backend for database management, authentication, media and workflows. Being lightweight and built on Web Standards, it can be deployed nearly anywhere, including running inside your framework of choice. No more deploying multiple separate services! For documentation and examples, please visit https://docs.bknd.io. WarningPlease keep in mind that bknd is still under active...
Why is Cache Invalidation Hard?

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Category: Featured Posts

Spark, Parquet and S3 – It’s complicated.

Spark, Parquet and S3 – It’s complicated.

Published by Arnon Rotem-Gal-Oz on August 10, 2015

(A version of this post was originally posted in AppsFlyer’s blog. Also special thanks to Morri Feldman and Michael Spector from AppsFlyer data team that…

Data’s hierarchy of needs

Data’s hierarchy of needs

Published by Arnon Rotem-Gal-Oz on June 1, 2015

This post originally published in the AppsFlyer blog. A couple of weeks ago Nir Rubinshtein and I presented AppsFlyer’s data architecture in a meetup ofBig…

Suprastructure – how come “Microservices” are getting small?