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68 Summaries of Machine Learning and NLP Research

Marek Rei

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. Computational Linguistics 2022. link] Developing a system for the detection of cognitive impairment based on linguistic features. University of Wisconsin-Madison.

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Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

AWS Machine Learning Blog

Transformer-based language models such as BERT ( Bidirectional Transformers for Language Understanding ) have the ability to capture words or sentences within a bigger context of data, and allow for the classification of the news sentiment given the current state of the world. The code can be found on the GitHub repo.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications. A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language.

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Alibaba Researchers Unveil Unicron: An AI System Designed for Efficient Self-Healing in Large-Scale Language Model Training

Marktechpost

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient management and recovery.

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Building a Sentiment Classification System With BERT Embeddings: Lessons Learned

The MLOps Blog

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing.

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Explosion in 2019: Our Year in Review

Explosion

Jan 28: Ines then joined the great lineup of Applied Machine Learning Days in Lausanne, Switzerland. Sofie has been involved with machine learning and NLP as an engineer for 12 years. Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012.

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Large Language Models – Technical Overview

Viso.ai

Machine learning especially Deep Learning is the backbone of every LLM. Emergence and History of LLMs Artificial Neural Networks (ANNs) and Rule-based Models The foundation of these Computational Linguistics models (CL) dates back to the 1940s when Warren McCulloch and Walter Pitts laid the groundwork for AI.