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Google Cloud Developer Advocate Nikita Namjoshi introduces how distributed training models can dramatically reduce machine learning training times, explains ...

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Semantic caching is changing how we optimize systems reliant on large language models. By using vector embeddings, it enables faster queries.

520 votes, 44 comments. Hey lovely people! Thanks for the love for our R1 Dynamic 1.58-bit GGUF last week! Today, you can now train your own…

An issue I often see folks missing when reviewing query plans, is that they see that all of their scans involve indexes and they think that the query is likely already as fast (or efficient) as it can be. In this post we’ll look through several examples, some things to look out for, and how to then

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SQL Exercises, Practice, Solution: Structured Query Language (SQL) is a language used to view or change data in databases. The sentences used in this language are called SQL Queries.

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66 votes, 11 comments. Hey everyone, I want to share something I built after my long health journey. For 5 years, I struggled with mysterious…

Training LLMs often feels like alchemy, but understanding and optimizing the performance of your models doesn't have to. This book aims to demystify the science of scaling language models on TPUs: how TPUs work and how they communicate with each other, how LLMs run on real hardware, and how to parallelize your models during training and inference so they run efficiently at massive scale. If you've ever wondered “how expensive should this LLM be to train or “how much memory do I need to serve this model myself” or “what's an AllGather”, we hope this will be useful to you.

A publicly accessible database belonging to DeepSeek allowed full control over database operations, including the ability to access internal data. The exposure includes over a million lines of log streams with highly sensitive information.

Socket researchers uncovered a backdoored typosquat of BoltDB in the Go ecosystem, exploiting Go Module Proxy caching to persist undetected for years.

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We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Discover the GPU system requirements to run DeepSeek-R1 and its distilled models effectively, along with recommendations for choosing the right hardware for your needs.

In this series, you will learn how to build a HomeLab environment at home to learn concepts used in the real world for IT, Networking, and Cybersecurity jobs...

This playlist collects each episode of the Proxmox Full Course series that appeared on LearnLinuxTV.

473 votes, 60 comments. The server is an old computer of mine that’s been fitted into my home server rack (see photo). It has an i7-7700k, 16GB DDR4…

A deep dive into how browser cache partitioning has fundamentally changed web performance optimization, examining the trade-offs between privacy and performa...

Recommending strangers to companies like Microsoft and Nvidia has become a side hustle for enterprising employees

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A great language strangled by governance