Waymo vs Tesla: Two Ways to Build Self-Driving Cars
In this article, we will take a look at both approaches.
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EP222: What is Google’s TPU?
A TPU (Tensor Processing Unit) is Google’s custom AI chip, designed from scratch for the giant matrix multiplications that modern models live on. GPUs were built for graphics first.
A Detailed Guide to API Composition Techniques
In this article, we are going to dive deep into the area of the API composition problem and the patterns associated with it.
GitHub vs Vercel vs Replit: What Dev Platforms Do When AI Code Is Cheap
AI models have solved the writing code part of software development to a great extent.
How Cloudflare Is Making AI Pay for Content
In this article, we will go through Cloudflare’s solution in the following five steps.
How to Fight Clickbait: Meta, LinkedIn & YouTube Case Studies
What does it take for a social media platform to stop rewarding clickbait content?
The Read Path versus the Write Path: Strategies and Techniques
In this article, we will look at read path and write path operations and techniques in detail.
How Big Models Teach Small Models to Be Smart
In this article, we will walk through the idea from the ground up.
Why An LLM’s Memory Gets Expensive and How to Fix It
In this article, we will learn how LLMs use memory, how it gets expensive, and how to fix it.
LLM Security Basics: The Full Threat Model
In this article, we try to build a map of the full attack surface that threatens an LLM’s security.
Hiring: Part Time Instructor, Write Production Grade Code with AI
We’re hiring a part-time instructor for “𝐖𝐫𝐢𝐭𝐞 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐆𝐫𝐚𝐝𝐞 𝐂𝐨𝐝𝐞 𝐰𝐢𝐭𝐡 𝐀𝐈”.
A Detailed Guide to Idempotency, Delivery Semantics, and Deduplication
What happens when a service sends a request to charge a customer, but the request times out with no response?
How ChatGPT Optimizes its Agent Loop: Harness, API, and Inference
To understand what techniques are adopted in frontier labs to make AI applications more efficient, we met with the OpenAI engineers who developed and shipped various efficiency techniques into the systems behind Codex and ChatGPT Work.
Why DoorDash, Instacart, and Uber Eats Integrated LLMs Into Search Three Different Ways
In this article, we will walk through their differing solutions and try to make sense of their choices and understand the pattern behind them.
How NVIDIA Builds Open Models for the Age of AI
Bryan Catanzaro, VP of Applied Deep Learning Research at NVIDIA, walked us through how his team builds the company’s open models, the reasoning behind their architecture, and why NVIDIA open-sources so much of it.
A Beginner’s Guide to Clocks, Causality, and Ordering in Distributed Systems
Why does something as simple as reading the time become a hard problem for distributed systems?
Best Practices for Building AI Agents That Work in Production
In this article, we try to explore the collective thinking into a smaller set of practices and explain the reasoning behind each one, rather than asking anyone to memorize a numbered list.
Inside Roblox’s Bet on World Models
We sat down with Anupam Singh, senior vice president of engineering at Roblox, to hear from him about the world model that Roblox is using to make its multiplayer games look photorealistic, the key insights that have come from taking that approach, and the next big thing that the Roblox team is focusing on.
MCP vs A2A vs ACP: How AI Agents Actually Talk to Each Other
Agents are capable on their own. Combined with tools and other agents, their capabilities compound.
A Guide to Multi-Tenancy: Benefits and Challenges
In this article, we will understand multi-tenant architecture from the basics, along with its various benefits and challenges.