“The article aims to provide a clear explanation of 'supervised learning', 'unsupervised learning', and 'reinforcement learning'.”

“This article introduces recommended books and websites to study the required pre-requisite knowledge.”

“A lightweight agent foundation was implemented to dynamically generate tools and agents from definition information, and autonomously execute long-running tasks.”

“Databricks 基盤モデルAPIは多種多様なLLM APIを提供しており、Llamaのようなオープンウェイトモデルもあれば、GPT-5.2やClaude Sonnetなどのプロプライエタリモデルをネイティブ提供しています。”

“If I learn DSA, HLD/LLD on my own, would it take a lot of time or could I be ready in a few months?”

“If I learn DSA, HLD/LLD on my own, would it take a lot of time (one or more years) or could I be ready in a few months?”

“The article discusses fine-tuning LLMs and the use of methods like LoRA.”

“Now, I am looking for good resources to really dive into this field.”

“This article discusses the publication of Sam Altman's 2017 OpenAI call notes.”

“Further details of the content are unavailable given the article's structure.”

“Irina Ghose joins Anthropic as India managing director after 24 years at Microsoft.”

“We use these two premises to construct a taxonomy of survival stories, in which humanity survives into the far future.”

“Google is releasing TranslateGemma.”

“The AI partnerships allow companies to access the org's content, like Wikipedia, at scale.”

“Computer vision is an area of artificial intelligence that gives computer systems the ability to analyze, interpret, and understand visual data, namely images and videos.”

“The Wikimedia Foundation says Microsoft, Meta, Amazon, Perplexity, and Mistral joined Wikimedia Enterprise to get “tuned” API access; Google is already a member.”

“OpenAI has rehired three former researchers. This includes a former CTO and a cofounder of Thinking Machines, confirmed by official statements on X.”

“"We take feature …" (The article is truncated so no full quote)”

“Apple, in their announcement (though the author states they have limited English comprehension), cautiously evaluated the options and determined Google's technology provided the superior foundation.”

“Editor’s note: This article is a part of our series on visualizing the foundations of machine learning.”

“Mark Zuckerberg announced Meta Compute, a bet that winning in AI means winning with infrastructure; this, however, means retreating from Reality Labs.”

“MedGemma 1.5, small multimodal model for real clinical data MedGemma […]”

“Collective Communication (CC) is at the core of data exchange between multiple accelerators.”

“In modern LLM development, Pre-training, SFT, and RLHF are the "three sacred treasures."”

“The core of the problem is the resource strain and the lack of ethical considerations when scraping data at scale.”

“Claude Code's Plugin feature is composed of the following elements: Skill: A Markdown-formatted instruction that defines Claude's thought and behavioral rules.”

“The deal, announced Monday, offers a rare window into how one of the world’s most selective technology companies evaluates foundation models—and the criteria should matter to any enterprise weighing similar decisions.”

“Apple and Google have embarked on a non-exclusive, multi-year partnership that will involve Apple using Gemini models and Google cloud technology for future foundational models.”

“MNIST data are used.”

“ChatGPT and Claude, while capable of intelligent responses, are unable to act on their own.”

“日刊IETFは、I-D AnnounceやIETF Announceに投稿されたメールをサマリーし続けるという修行的な活動です!! (This translates to: "Nikkan IETF is a practice of summarizing the emails posted to I-D Announce and IETF Announce!!")”

“本記事は、あくまで個人の体験メモと雑感である (This article is merely a personal experience memo and miscellaneous thoughts).”

“"Physical AIのChatGPTモーメントが到来した"”

“A team of Stanford Medicine researchers have introduced SleepFM Clinical, a multimodal sleep foundation model that learns from clinical polysomnography and predicts long term disease risk from a single night of sleep.”

“Liquid AI has introduced LFM2.5, a new generation of small foundation models built on the LFM2 architecture and focused at on device and edge deployments.”

“I’m a college student currently starting my Machine Learning journey using Python, and like many beginners, I initially felt overwhelmed by how much there is to learn and the number of resources available.”

“It’s built to power reliable on-device agentic applications: higher quality, lower latency, and broader modality support in the ~1B parameter class.”

“Current audio evaluation faces three major challenges: (1) audio evaluation lacks a unified framework, with datasets and code scattered across various sources, hindering fair and efficient cross-model comparison”

“By unifying these diverse AI components into a single, easy-to-adapt platform”

“Placing humans at the core, HCAI seeks to ensure that AI systems serve, augment, and empower humans rather than harm or replace them.”

“AEF-based models generally exhibit strong performance on all tasks and are competitive with purpose-built RS-ba”

“"Vibe駆動開発はクソである。"”

“N/A (Source is a Reddit post with no direct quotes)”

“N/A - Article content not directly provided.”

“Unable to extract a direct quote from the provided context.”

“If companies want to win in the AI era, they’ve got to hone the user experience.”

“MNIST（エムニスト）は、0から9までの手書き数字の画像データセットです。”

“ただ、AIが生成したコードを理解しなければ、その成果物に対し...”

“The author's goals include competing in Kaggle/Dacon-style ML competitions and understanding ML well enough to have meaningful conversations with practitioners.”

“I'm looking for resources to study the following: -statistics and probability -calculus (for applications like optimization, gradients, and understanding models) ... I don't want to study the entire math courses, just what is necessary for AI/ML.”