
Become dangerously good at AI Engineering.
| Platform | Pricing | Only free issues | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 60 | Founded | 10 months ago | Last Issue | 5 days ago |
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Agentic testing hands an agent the goal instead of the steps, and lets it work out how to get there against whatever interface your system exposes. It finds its own way, invents cases nobody wrote, and survives the renames that break your s...
Three tools wrap the same models, and the leaderboards disagree about which is ahead. Six architectural decisions separate them: what gets read, what gets thrown away, what runs without asking, what happens when the agent is wrong, whether...
This is the 🔍 RAG course: after it, you can plug your company’s data into an LLM and get answers that don’t hallucinate. The other two paths:
🤖 Agents
⚡ Hardware & Inference
Every course runs in three parts:
Agentic testing hands an agent the goal instead of the steps, and lets it work out how to get there against whatever interface your system exposes. It finds its own way, invents cases nobody wrote, and survives the renames that break your s...
Self-hosting an LLM replaces one vendor contract with four handoffs between the parts you now run yourself. Your stack breaks at those handoffs, the model itself keeps working, and the benchmark you used to pick the engine tests none of the...
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The writers behind this newsletter.
Shipping Production AI: Agents, Inference, GPU. Read by 1M+ AI engineers.
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