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For the last few years, Large Language Models have been impressing researchers with their ability to generate text, answer questions, translate languages, and perform tasks they had never been explici Read more ›
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🦀Rustclef-lang.com·
How Clef delivers memory safety and liveness integrity for multi-threaded and multi-process applications Read more ›
Discussed on Hacker News
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🤖LLMmedium.com
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What is Retrieval Augmented generation? Read more ›
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Is anti-natalism a luxury belief? Read more ›
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🦀RustGitHub·
Detects usage of unsafe Rust in a Rust crate and its dependencies. - geiger-rs/cargo-geiger Read more ›
Discussed on Hacker News
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Automatic text summarization (ATS) is an emerging technology to assist clinicians in providing continuous and coordinated care. This study presents an approach to summarize doctor-patient dialogues using generative large language models (LLMs). We developed prompt-tuning algorithms to instruct generative LLMs to summarize clinical text. We examined the prompt-tuning strategies, the size of soft prompts, and the few-short learning ability of ... Read more ›
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Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines that can orchestrate complex tasks including identifying vulnerabilities in source code and transforming fragmented project discussions into rigorous technical specifications.While the general public uses AI tools to write email and plan vacations, technical professionals use LLMs as core architectural elements that are fundamentally changing how digital infrastructures... Read more ›
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They say pot helps them be patient with their kids. But at what cost? Read more ›
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From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
Discussed on Hacker News
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🦀Rustgrigio.org·
In May 2026, the Bun team did something the software industry has been whispering about for years: they rewrote their entire runtime from Zig to Rust. Not over the course of a year with a dedicated team. In six days. Using AI agents. At nearly a million lines of code, Read more ›
Discussed on Hacker News
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In the last few months, building with LLMs has shifted from simple prompt engineering to architecting complex, reliable systems. My latest… Read more ›
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Many siblings drift apart as they enter adulthood. Here are some of the common reasons and how to close the gap. Read more ›
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🤖LLMmedium.com
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Explore how Retrieval Augmented Generation (RAG) is revolutionizing the precision of responses from large language models (LLMs) such as… Read more ›
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🦀Rustmedium.com
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I’m learning Rust seriously, and I’m considering rebuilding an existing Express backend with Axum + Tokio — not for performance, but for… Read more ›
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Learn how modern AI evolved from simple language models to Transformers, reasoning models, and ChatGPT through practical examples and diagrams. Read more ›
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👶ParentingThe Sun·
LEWIS HAMILTON won his first Grand Prix in Ferrari red and broke his 410-day winless drought. The seven-time world champion produced a pit-stop masterclass and blistering drive to stand on the top of the podium for the first time since Silverstone 2024. He technically won the Belgian Grand Prix three-weeks after that but victory was... Read more ›
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🤖LLMmedium.com
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A practical guide to machine learning, neural networks, NLP, large language models, prompt engineering, and agentic AI — and how they… Read more ›
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The opening post of a Low-Level Systems Design in Rust series, arguing that the biggest performance win is structural: replace a shared multi-producer cursor that serializes cores through cache-coherence traffic with one private single-writer SPSC ring per producer, converting quadratic writer contention into a cheap O(N) consumer sweep. Read more ›
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If you've ever typed "let's think step by step" into ChatGPT and watched the answer quality jump, you've already used chain-of-thought prompting without knowing it. That phrase isn't magic — it's a deliberate technique backed by peer-reviewed research. What It Is Chain-of-thought (CoT) prompting instructs an AI model to reason through a problem step by step before delivering its final answer. Instead of predicting a response in one leap, the model generates a sequence of intermediate reasonin... Read more ›
Discussed on DEV
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The Software Freedom Conservancy provides a non-profit home and services to Free, Libre and Open Source Software (FLOSS) projects. Read more ›
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