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papereditor.app/internals

Nerdy internals of an Apple text editor

Points: 459 | Comments: 74 | Author: papereditor

michaelfeathers.silvrback.com/10-papers-every-developer-should-read-at-least-twice

Papers every developer should read at least twice (2009)

Points: 623 | Comments: 95 | Author: teleforce

doi.org/10.1109%2FTRO.2016.2624754

Past, Present, and Future of Simultaneous Localization and Mapping: Toward the R…

Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last 30 years…

doi.org/10.1214%2Faoms%2F1177728796

A Property of the Normal Distribution

The following theorem is proved. Let $X_1, X_2, \cdots, X_n$ be $n$ independently (but not necessarily identically) distributed random variables, and assume that the $n$th moment of each $X_i(i = 1, 2, \cdots, n)$ exists. The necessary and sufficient condition…

luma.com/92q7z44z?trk=organization_guest_main-feed-card-text

Community Paper Reading: CVE-Bench: A Benchmark for AI Agents' Ability to Exploi…

Join our upcoming community paper reading, where we'll dive into "CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application…

aka.ms/goex-paper

[2404.06921] GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM…

Large Language Models (LLMs) are evolving beyond their classical role of providing information within dialogue systems to actively engaging with tools and performing actions on real-world applications and services. Today, humans verify the correctness and appr…

aka.ms/raft-paper

[2403.10131] RAFT: Adapting Language Model to Domain Specific RAG

Pretraining Large Language Models (LLMs) on large corpora of textual data is now a standard paradigm. When using these LLMs for many downstream applications, it is common to additionally bake in new knowledge (e.g., time-critical news, or private domain knowle…