Marek Rei

NOVEMBER 12, 2019

Evaluations on CoNLL 2014 and JFLEG show a considerable improvement over previous best results of neural models, making this work comparable to state-of-the art on error correction. link] Constructing a system for NLI that explains its decisions by pointing to the most relevant parts of the input. Cambridge, Amazon. NAACL 2019.

Machine Learning 52

Machine Learning NLP Neural Network BERT 52

Explosion

MAY 17, 2023

But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them? In 2014 I started working on spaCy , and here’s an excerpt of how I explained the motivation for the library: Computers don’t understand text.

LLM 135

LLM NLP Large Language Models OpenAI 135

ODSC - Open Data Science

JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. NLP skills have long been essential for dealing with textual data. Tokenization & Transformers These are specific techniques in NLP and popularized by LLMs. Tokenization involves converting text into a format understandable by models.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

ML Review

JUNE 4, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). These ideas also move in step with the explainability of results.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Mlearning.ai

JUNE 8, 2023

Vector Embeddings for Developers: The Basics | Pinecone Used geometry concept to explain what is vector, and how raw data is transformed to embedding using embedding model. Pinecone Used a picture of phrase vector to explain vector embedding. What are Vector Embeddings? sentence embeddings: represent entire sentences.

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

Pragnakalp

JANUARY 1, 2024

There are several theories and hypotheses that attempt to explain what might have come before the Big Bang, but none of them have been proven conclusively. Overall, while there are many theories and hypotheses that attempt to explain what came before the Big Bang, none of them have been proven conclusively. Mistral-7b-instruct-v0.1

Python 52

Python Natural Language Processing Explainability NLP 52

Explosion

FEBRUARY 18, 2015

I wrote it because I think small companies are terrible at natural language processing (NLP). Or rather: small companies are using terrible NLP technology. To do great NLP, you have to know a little about linguistics, a lot about machine learning, and almost everything about the latest research. Amazing improvements in quality.

NLP 52

NLP Natural Language Processing Software Engineer Explainability 52

Sebastian Ruder

MAY 22, 2020

This advice should be most relevant to people studying machine learning (ML) and natural language processing (NLP) as that is what I did in my PhD. 2014 ), neuroscience ( Wang et al., Many projects with a large impact in ML and NLP such as AlphaGo or OpenAI Five have been developed by a team. 2016 ), physics ( Cohen et al.,

Natural Language Processing 52

Natural Language Processing NLP Deep Learning ML 52

John Snow Labs

AUGUST 7, 2024

A significant milestone was reached in 2014 with the introduction of Generative Adversarial Networks (GANs). Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis.

Generative AI 59

Generative AI AI AI Algorithm 59

John Snow Labs

FEBRUARY 29, 2024

A significant milestone was reached in 2014 with the introduction of Generative Adversarial Networks (GANs). Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis.

Generative AI 40

Generative AI AI AI Algorithm 40

AWS Machine Learning Blog

NOVEMBER 11, 2024

text generation model on domain-specific datasets, enabling it to generate relevant text and tackle various natural language processing (NLP) tasks within a particular domain using few-shot prompting. Instruction tuning format In instruction fine-tuning, the model is fine-tuned for a set of NLP tasks described using instructions.

Generative AI 115

Generative AI AI AI ML 115

ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading!

Neural Network 52

Neural Network Computer Vision Deep Learning Convolutional Neural Networks 52

Probably Approximately a Scientific Blog

MARCH 1, 2017

It seems that the problem lies in occupational gender segregation , which may be explained by any one of the following: 2.2 It seems that the problem lies in occupational gender segregation , which may be explained by any one of the following: 2.2 From [link] According to the Central Bureau of Statistics , in 2014, 48.9%

Explainability 52

Explainability NLP Machine Learning 52

Unite.AI

DECEMBER 15, 2023

I’ve spent most of the last 5 years focused on NLP use cases and problems. For example, for NLP tasks, they can help by providing alternative ways of phrasing problematic snippets of text such that the bias present in the language is reduced. Thus, building good explainability and interpretability tools is important.

Machine Learning 130

Machine Learning AI AI AI Modeling 130