Discover effective online language learning with SuperMemo. Learn languages with proven courses, intelligent repetitions, and AI tools. Start today!
SuperMemo - language courses
Discover effective online language learning with SuperMemo. Learn languages with proven courses, intelligent repetitions, and AI tools. Start today!
Learn Languages with LearnWithOliver.com
Daily language exercises, audio flashcards, arcade games, annotated texts and AI chat. Free to start.
Learn Languages with LearnWithOliver.com
Learn Mandarin Chinese online with our audio flashcard system, multiple choice test, annotated texts and games. Suitable for beginner, intermediate and advanced learners.
Online Mandarin Chinese Learning | Mandarin Blueprint
The best way to learn Chinese language online. This is how to learn Chinese in less than twelve months, from zero.
italki - Best language learning app with certificated tutors
Discover a world of languages with italki. Learn over 150 languages including English, Spanish, French, Chinese, etc. with professional online tutors.
From Chalkboards to Chatbots : Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria
This study evaluates the impact of a program leveraging large language models for virtual tutoring in secondary education in Nigeria. Using a randomized controlled trial, .
yzfly/awesome-context-engineering
A curated collection of resources, papers, tools, and best practices for Context Engineering in AI agents and Large Language Models (LLMs).
Superwhisper — AI Voice to Text for macOS, Windows & iOS
AI powered voice to text for macOS, Windows, and iOS. Dictate in any app with offline and cloud speech recognition, 100+ languages, and custom AI modes.
Effective learning: Twenty rules of formulating knowledge - SuperMemo
This article will help you overcome one of the greatest difficulties you will face when trying to accelerate learning: formulating knowledge.
Mango Languages | Vancouver Public Library
Over 70 self-paced language learning courses and dialects. Learners are introduced to vocabulary, cultural insights, grammar and more. The courses are delivered by native speakers. They include critical-thinking and memory-building exercises. Sign up for a Mango profile so you can track your progress & continue where you left off.Or use “Mango as a guest” to access the resource. New to Mango? View a video tutorial.
A Survey on Large Language Model based Autonomous Agents
Autonomous agents have long been a prominent research focus in both academic and industry communities. Previous research in this field often focuses on training agents with limited knowledge within isolated environments, which diverges significantly from human learning processes, and thus makes the agents hard to achieve human-like decisions. Recently, through the acquisition of vast amounts of web knowledge, large language models (LLMs) have demonstrated remarkable potential in achieving human-level intelligence. This has sparked an upsurge in studies investigating LLM-based autonomous agents. In this paper, we present a comprehensive survey of these studies, delivering a systematic review of the field of LLM-based autonomous agents from a holistic perspective. More specifically, we first discuss the construction of LLM-based autonomous agents, for which we propose a unified framework that encompasses a majority of the previous work. Then, we present a comprehensive overview of the diverse applications of LLM-based autonomous agents in the fields of social science, natural science, and engineering. Finally, we delve into the evaluation strategies commonly used for LLM-based autonomous agents. Based on the previous studies, we also present several challenges and future directions in this field. To keep track of this field and continuously update our survey, we maintain a repository of relevant references at https://github.com/Paitesanshi/LLM-Agent-Survey.
Big AI is accelerating the metacrisis: What can we do?
The world is in the grip of ecological, meaning, and language crises that are converging into a metacrisis. Big AI is accelerating them all. LLM engineering sits at the core. Despite the public good motives of language engineers and the promise of LLMs, this work is being leveraged to create unprecedented wealth and power for a handful of individuals and corporations while causing existential harm to life on earth. As a profession, we urgently need to come together to explore alternatives and to design a life-affirming future for our field of natural language processing that is centered on human flourishing on a living planet.
Introducing FlexOlmo: a new paradigm for language model training and data collaboration | Ai2
Explore how FlexOlmo enables collaborative language model training without sacrificing data privacy or control, introducing a new, flexible approach to building shared AI models.
Methodologies for Improving the Quality of AI Tutoring in K-12 Education
Many AI tutors leverage large language models (LLMs) today. Given that LLMs are opaque black boxes, robust evaluation and live experimentation to measure the impact of every change are essential. We pioneered AI-powered tutoring for K-12 with the launch of Khanmigo (Khan Academy 2023). We describe the metrics we use to measure AI tutoring quality and student engagement as well as various experiments we have run. We highlight the changes that have moved our metrics, including models, prompting, personalization and agents.
AI learns language from skewed sources. That could change how we humans speak – and think | Bruce Schneier
Large language models aren’t trained on real-life conversations. As we encounter their language, it could affect our own
