Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@YaleDivinitySchool@mstdn.social
2025-05-08 20:57:04

Following the election of Robert Prevost as the new Pope today, YDS asked professor Teresa Berger for perspective. Teresa Berger is Professor of Liturgical Studies and Thomas E. Golden Jr. Professor of Catholic Theology.
Here is our brief exchange:
divinity.yale.edu/news/new-pop

A woman poses next to a classical column.
@lysander07@sigmoid.social
2025-05-09 08:41:35

Building on the 90s, statistical n-gram language models, trained on vast text collections, became the backbone of NLP research. They fueled advancements in nearly all NLP techniques of the era, laying the groundwork for today's AI.
F. Jelinek (1997), Statistical Methods for Speech Recognition, MIT Press, Cambridge, MA
#NLP

Slide from Information Service Engineering 2025, LEcture 02, Natural Language PRocessing 01, A Brief History of NLP, NLP timeline. The timeline is located in the middle of the slide from top to bottom. The pointer on the timeline indicates 1990s. On the left, the formula for conditional probability of a word, following a given series of words, is given as a formula. Below, an AI generated portrait of William Shakespeare is displayed with 4 speech buubles, representing artificially generated tex…
@rmdes@mstdn.social
2025-06-07 11:30:39

Abuse in Buddhism: The Law of Silence openbuddhism.org/library/video

@Mediagazer@mstdn.social
2025-06-02 18:45:39

Mattel combines its film and television production units into a single unit under the direction of Mattel Films president and Barbie producer Robbie Brenner (Jeremy Fuster/The Wrap)
thewrap.com/mattel-combines-fi

@lysander07@sigmoid.social
2025-05-08 08:03:00

Next stop on our NLP timeline (as part of the #ISE2025 lecture) was Terry Winograd's SHRDLU, an early natural language understanding system developed in 1968-70 that could manipulate blocks in a virtual world.
Winograd, T. Procedures as a Representation for Data in a Computer Program for Understanding Natural Language. MIT AI Technical Report 235.

Slide from the Information Service Engineering 2025 lecture, Natural Language Processing 01, A Brief History of NLP, NLP Timeline. The picture depicts a timeline in the middle from top to bottom. There is a marker placed at 1970. Left of the timeline, a screenshot of the SHRDLU system is shown displaying a block world in simple line graphics. On the right side, the following text is displayed: SHRDLU was an early natural language understanding system developed by Terry Winograd in 1968-70 that …
@arXiv_csCY_bot@mastoxiv.page
2025-06-30 08:28:20

The First Compute Arms Race: the Early History of Numerical Weather Prediction
Charles Yang
arxiv.org/abs/2506.21816

@rmdes@mstdn.social
2025-06-28 08:13:00

Abuse in Buddhism: The Law of Silence openbuddhism.org/library/video

@lysander07@sigmoid.social
2025-05-12 08:39:14

Last leg on our brief history of NLP (so far) is the advent of large language models with GPT-3 in 2020 and the introduction of learning from the prompt (aka few-shot learning).
T. B. Brown et al. (2020). Language models are few-shot learners. NIPS'20

Slide from Information System Engineering 2025 lecture, 02 - Natural Language Processing 01, A brief history of NLP, NLP Timeline.
The NLP timeline is in the middle of the page from top to bottom. The marker is at 2020. On the left side, an original screenshot of GPT-3 is shown, giving advise on how to present a talk about "Symbolic and Subsymbolic AI - An Epic Dilemma?".
The right side holds the following text: 
2020: GPT-3 was released by OpenAI, based on 45TB data crawled from the web. A “da…