A Joyful AI Research Journey🌳😊

In the expression ∣{d∈D:t∈d}∣ {}: denotes a set. d∈D: means "document d is in the set D" (i.e., d is one of the documents in the corpus D). t∈d means "term t is in document d" (i.e., the term t appears in the document d). : can be read as "such that". So, {d∈D:t∈d} describes the set of all documents d in the corpus D such that the term t appears in d. In plain English, it represents the set of a..

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https://www.aitimes.kr/news/articleView.html?idxno=27373 美 카네기 멜론大 오혜진 교수 연구팀, 인간과 생성AI·로봇 융합한 로봇 화가 '프리다' 개발 - 인 미국 카네기멜론대학교(Carnegie Mellon University. 이하, CMU)의 로봇 연구소(Robotics Institute) 오혜진 교수 연구팀이 인간과 생성 인공지능(Generative AI), 로봇을 융합해 \'프리다(FRIDA)\'를 개발했다.F... www.aitimes.kr

What I found most shocking about this research is that it closely resembles the 'Simulation Theory' – the idea proposed by some physicists that our reality might be a computer simulation, potentially designed by a higher power or advanced civilization. A higher power or advanced civilization ▶ Computer Simulation ▶ Human life In simpler terms: A higher power or advanced civilization might have c..

https://blog.gregbrockman.com Greg Brockman on Svbtle Greg Brockman | Svbtle blog.gregbrockman.com Greg Brockman의 블로그를 통해 2016년 OpenAI 창립 과정을 볼 수 있는데, 정말 신기한 점은 투자자도 중요하겠지만, 설립 멤버 중 2명인 핵심 AI 연구진(Ilya Sutskever, Andrej Karpathy)을 친구를 통해 소개받았다 (introduced by my friend)는 점이다. 성공에 있어서 '인맥'도 진짜 중요하다고 느꼈다.

To determine P(J∣F,I) the probability Jill Stein spoke the words 'freedom' and 'immigration', we'll apply Bayes' Theorem: P(J∣F,I) =P(J)×P(F∣J)×P(I∣J) / P(F,I) Where: P(J) is the prior probability (the overall likelihood of Jill Stein giving a speech). In our case, P(J)=0.5P(J)=0.5. P(F∣J) and P(I∣J) are the likelihoods. These represent the probabilities of Jill Stein saying the words 'freedom' ..

“Nobody tells this to people who are beginners, I wish someone told me. All of us who do creative work, we get into it because we have good taste. But there is this gap. For the first couple years you make stuff, it’s just not that good. It’s trying to be good, it has potential, but it’s not. But your taste, the thing that got you into the game, is still killer. And your taste is why your work d..

Bayesian inference is a method of statistical analysis that allows us to update probability estimates as new data arrives. In the realm of Natural Language Processing (NLP), it is often used in spam detection, sentiment analysis, and more. Let's explore the initial steps of preprocessing text data for Bayesian inference. 1. Convert Text to Lowercase: To ensure consistency, we convert all text da..

When working with data in Python, the pandas library is a vital tool. However, a common hiccup new users face is the "NameError" related to its commonly used alias 'pd'. Let's understand and resolve this error. The message "NameError: name 'pd' is not defined" indicates that the pandas library, commonly aliased as "pd", hasn't been imported. The solution is straightforward. You need to ensure th..

In the constantly evolving realm of artificial intelligence, a recent article by Troy Woodson caught my attention. Published on July 10, 2023, the piece titled "How AI Can Have a Personality and Why It Matters" delves deep into the concept of AI personalities, especially concerning Large Language Models (LLMs). According to Woodson, AI is not just an amalgamation of algorithms and data. LLMs lik..