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@patrickyong
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Source: MarkTechPost search.app/qsFCo
Five Steps to Build AI Agents that Actually Deliver Business Results - The New Stack share.google/7b5QP71D5hkX8T…
Compilers Aren't Just for Programming Languages share.google/L9ejTNdgmHnBDW…
architecture-weekly.com
Compilers Aren't Just for Programming Languages
...but also for building Adaptive Streaming Pipelines. I wrote today on how building event-driven pipeline lead me to writing my own compiler. Oh well, small one, simple one, but still. Learn on...
7 Pandas Tricks for Time-Series Feature Engineering - MachineLearningMastery.com share.google/kQwmkhOz6uIg4Z…
A Gentle Introduction to Context Engineering in LLMs - KDnuggets share.google/ITSDXobkyX2Gga…
Can Platform Engineering Accelerate AI Adoption? - The New Stack share.google/gQtJyKi0cDail1…
thenewstack.io
Can Platform Engineering Accelerate AI Adoption?
Platform engineering can both enforce the guardrails and enable the innovation of AI adoption across the software development life cycle.
Thesys React SDK: Turn LLM Responses into real time User Interfaces - DEV Community share.google/dljZbJqQwvzvmB…
Read “The complete guide to building MCP Agents“ by Anmol Baranwal on Medium: levelup.gitconnected.com/the-complete-g…
Google literally dropped a 68-page Prompting Masterclass — and it’s absolutely insane. It’s not just a guide. It’s a full-on prompt engineering playbook from the AI giants themselves.
How do we design effective and safe APIs? 🧵🔖
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