Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

Mlearning.ai

JUNE 14, 2023

YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1) YouTube Transformer Models (cohere.com) Intro to BERT (early LLM example) BERT Neural Network — EXPLAINED! — YouTube YouTube BERT Research — Ep. Transformer Neural Networks — EXPLAINED!

Neural Network 52

Neural Network BERT Large Language Models Natural Language Processing 52

IBM Journey to AI blog

JULY 19, 2023

in 10 years, from 2012 to 2022. In a nod to the growing usage of Machine learning in life sciences, FDA has now cleared more than 500 medical algorithms that are commercially available in the United States. More than half of algorithms on the U.S. Business Value As per FAERS database , the number of reported AEs has grown 2.5x

Generative AI 189

Generative AI Large Language Models AI AI 189

O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

BERT 109

BERT Algorithm AI AI 109

Lexalytics

APRIL 5, 2021

This would change in 1986 with the publication of “Parallel Distributed Processing” [ 6 ], which included a description of the backpropagation algorithm [ 7 ]. In retrospect, this algorithm seems obvious, and perhaps it was. We were definitely in a Kuhnian pre-paradigmatic period. It would not be the last time that happened.)

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

in 2012 is now widely referred to as ML’s “Cambrian Explosion.” This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. In FSI, non-time series workloads are also underpinned by algorithms that can be parallelized.

ML 102

ML Deep Learning Algorithm Large Language Models 102

Applied Data Science

MARCH 11, 2022

Then, we will look at three recent research projects that gamified existing algorithms by converting them from single-agent to multi-agent: ?️‍♀️ Back in 2012 things were quite different. All the rage was about algorithms for classification. ‍♀️ Data generation as a game —  Generative Adversarial Networks ?

Neural Network 52

Neural Network Data Science AI AI 52