Preparing for #DevOps, SRE, or #Cloud #Engineering interviews?
This open-source #GitHub project collects real #interview experiences from 2025–2026, covering 80+ companies and topics like Kubernetes, #Docker, Terraform, AWS, CI/CD, #Linux, and system reliability.
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A useful #resource for anyone preparing for technical interviews.
GitHub: github.com/litu54/DevOps-Int…
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A great open-source #book for anyone who wants to understand the fundamentals of #LLMs.
arxiv.org/pdf/2501.09223
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The University of Manchester has an Academic Phrasebank that can help you get started with academic writing and research papers.
A useful free resource for students and researchers!
phrasebank.manchester.ac.uk
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What's your excuse for not pushing yourself and expanding your knowledge when there are so many excellent free courses available online on almost any subject you can imagine?
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The Traveling Salesperson Problem teaches us a powerful lesson:
Finding a solution and finding the best solution are two very different problems !
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Why use one AI assistant when you can have 100 AI agents working in one workspace?
The reason: 😂
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AI is much more than neural networks and large language models.
Search, planning, reasoning, and decision-making are also fundamental parts of the field.
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Building an LLM from scratch is a great way to understand what happens under the hood.
From tokenization and embeddings to neural networks and Transformers, implementing these concepts helps bridge the gap between theory and practice.
Video & Code: github.com/w3cj/how-llms-wor…
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Want to learn how to build AI agents?
This open-source book covers everything from the basics to production, with 88 hands-on projects.
The core idea: Agent = LLM + Context + Tools.
A free resource for anyone interested in building AI agents.
GitHub: github.com/bojieli/ai-agent-…
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Humans learn from mistakes. Can AI systems do the same continuously?
Imagine an AI agent that learns from past failures, identifies patterns, and adapts its strategy instead of repeating the same mistakes, particularly in financial markets.
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Colibrì lets you run massive LLMs locally on ordinary hardware, even when their weights don't fit in RAM or VRAM. It streams model experts from disk, trading speed for access to much larger models—no cloud, no API costs.
GitHub: github.com/JustVugg/colibri
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All I need right now is a quiet library, research papers to read, and my thesis to work on. Just me, my goals, and a little peace from the world…
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Among all the things that make me feel better, petting a Persian cat is definitely one of them.
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Is it normal to have such a strong passion for spending time and studying in libraries, doing research, making scientific discoveries, answering unanswered questions, and creating new challenges for science ?
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