Viso.ai

JULY 18, 2024

If a computer program is trained on enough data such that it can analyze, understand, and generate responses in natural language and other forms of content, it is called a Large Language Model (LLM). An easy way to describe LLM is an AI algorithm capable of understanding and generating human language.

Large Language Models 52

Large Language Models Neural Network Natural Language Processing BERT 52

NLP People

JUNE 5, 2018

The company utilises algorithms for targeted data collection and semantic analysis to extract fine-grained information from various types of customer feedback and market opinions. DeepL DeepL is a Cologne-based startup that utilises deep neural networks to build state-of-the-art machine translation service.

NLP 52

NLP Data Mining Deep Learning Natural Language Processing 52

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. and the latter is a technique for generating data ( such as very realistic p hotographs).

Neural Network 52

Neural Network Data Science AI AI 52

Defined.ai blog

AUGUST 3, 2023

Machine translation is a subfield of computational linguistics that uses software to translate text or speech from one language to another. The latest and most advanced is NMT , which utilizes artificial neural networks to predict the likelihood of a sequence of words appearing in a text, typically in the form of sentences.

Computational Linguistics 52

Computational Linguistics Neural Network Algorithm Explainability 52

Explosion

MAY 8, 2016

We’ve since released spaCy v2.0 , which comes with new convolutional neural network models for German and other languages. The algorithmic changes needed to process German are an important step towards processing many other languages. They share a relatively recent common ancestor, so they’re structurally similar.

Convolutional Neural Networks 40

Convolutional Neural Networks NLP Neural Network Algorithm 40

Sebastian Ruder

FEBRUARY 23, 2023

Computation Function We consider a neural network $f_theta$ as a composition of functions $f_{theta_1} odot f_{theta_2} odot ldots odot f_{theta_l}$, each with their own set of parameters $theta_i$. d) Hypernetwork: A small separate neural network generates modular parameters conditioned on metadata.

Deep Learning 52

Deep Learning NLP Computer Vision Metadata 52

Explosion

DECEMBER 17, 2013

Today, almost all high-performance parsers are using a variant of the algorithm described below (including spaCy). It would be relatively easy to provide a beam-search version of spaCy…But, I think the gap in accuracy will continue to close, especially given advances in neural network learning.

Python 45

Python Algorithm NLP Computational Linguistics 45