ByteByteGo Newsletter
How AI Transformed Database Debugging at Databricks
In this article, we will look at how the Databricks engineering team built this platform and the challenges faced along the way.
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How Google’s Tensor Processing Unit (TPU) Works?
In this article, we look at why Google built custom silicon, and how it works, revealing the physical constraints and engineering trade-offs they had to make.
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EP196: Cloud Load Balancer Cheat Sheet
Efficient load balancing is vital for optimizing the performance and availability of your applications in the cloud.
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Message Brokers 101: Storage, Replication, and Delivery Guarantees
A message broker is a middleware system that facilitates asynchronous communication between applications and services using messages.
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OpenAI CLIP: The Model That Learnt Zero-Shot Image Recognition Using Text
In this article, we will look at how CLIP works and the problems it tries to solve.
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EP195: Common Network Protocols Every Engineer Should Know
Every click, message, and API call on the internet relies on network protocols. They define how data moves, who can talk, and how securely it all happens.
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🚀 Learn AI in the New Year: Become an AI Engineer Cohort 3 Now Open
After the amazing success of Cohorts 1 and 2 (with close to 1,000 engineers joining and building real AI skills), we are excited to announce the launch of Cohort 3 of Become an AI Engineer!
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How Shopify Prepares for Black Friday
In this article, we will look at how Shopify prepared for success during the Super Bowl of commerce.
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Multimodal LLMs Basics: How LLMs Process Text, Images, Audio & Videos
For a long time, AI systems were specialists confined to a single sense.
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EP194: Evolution of HTTP
The Hypertext Transfer Protocol (HTTP) has evolved over the years to meet the needs of modern applications, from simple text delivery to high-performance, real-time experiences.
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A Guide to Retry Pattern in Distributed Systems
In this article, we will explore the retry pattern in depth, understand when and how to use it safely and effectively.
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How Meta Built a New AI-Powered Ads Model for 5% Better Conversions
In this article, we look at how the Meta engineering team built GEM and the challenges they overcame.
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