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. Evolution of NLP Models To understand the full impact of the above evolutionary process.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP).   2021 saw the continuation of the development of ever larger pre-trained models. 2021 saw the development of alternative model architectures that are viable alternatives to the transformer.

NLP 52

NLP ML BERT Computational Linguistics 52

Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Data Extraction NLP Natural Language Processing Automation 98

Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Case-studies from real-life business scenarios and advice you can act on.

Data Science 52

Data Science Data Scientist Machine Learning Automation 52

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021.

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Applied Data Science

JANUARY 4, 2022

Hiding your 2021 resolution list under a glass of champagne? To write this post we shook the internet upside down for industry news and research breakthroughs and settled on the following 5 themes, to wrap up 2021 in a neat bow: ? In 2021, the following were added to the ever growing list of Transformer applications.

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Towards AI

JULY 24, 2024

Building a multi-hop retrieval is a key challenge in natural language processing (NLP) and information retrieval because it requires the system to understand the relationships between different pieces of information and how they contribute to the overall answer. Virat Kohli stepped down in 2021, and 2.

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Towards AI

JULY 24, 2024

Building a multi-hop retrieval is a key challenge in natural language processing (NLP) and information retrieval because it requires the system to understand the relationships between different pieces of information and how they contribute to the overall answer. Virat Kohli stepped down in 2021, and 2.

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Data Ingestion OpenAI Natural Language Processing Chatbots 98

Unite.AI

NOVEMBER 20, 2024

Based in Tel Aviv, Israel, Munch was founded in 2021 by CEO Oren Kandel and Peter Naftaliev. Munch uses advanced AI technologies, including GPT (Generative Pre-trained Transformer), NLP ( Natural Language Processing ), and OCR ( Optical Character Recognition ), to analyze video content. What does GetMunch do?

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IBM Journey to AI blog

OCTOBER 9, 2023

In the business world, AI could offer companies a competitive edge over peers slow to adopt machine learning, natural language processing (NLP) and generative capabilities. in 2021 to help lessen the financial impact of the COVID-19 pandemic on citizens.

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Becoming Human

MARCH 16, 2023

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. All pharma giants, including Bayer, AstraZeneca, Takeda, Sanofi, Merck, and Pfizer, have stepped up spending in the hope to create new-age AI solutions that will bring cost efficiency, speed, and precision to the process.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. an AI start-up, and worked as the CEO and Chief Scientist in 2019–2021. He founded StylingAI Inc., Before joining the industry, he was the Charles E.

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AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. One of the main advantages of high-quality product descriptions is the improvement in searchability.

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AWS Machine Learning Blog

MARCH 1, 2024

Hybrid search overview Hybrid search takes advantage of the strengths of multiple search algorithms, integrating their unique capabilities to enhance the relevance of returned search results. billion for 2021, 2022, and 2023. billion for 2021, 2022, and 2023. billion for 2021, 2022, and 2023. billion, $6.1 billion, $6.1

Machine Learning 138

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Google Research AI blog

MARCH 30, 2023

Despite the fundamental importance of data to ML, it’s only now beginning to receive the same level of attention that models and learning algorithms have been enjoying for the past decade. We can begin by recognizing common challenges in dataset creation and developing performance metrics for algorithms that address those challenges.

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Unite.AI

OCTOBER 27, 2023

According to Stanford University's AI Index Report 2023, while only one law was adopted in 2016, there were 12 of them in 2018, 18 – in 2021, and 37 – in 2022. 2021, “Models of granting legal capacity to artificial intelligence” Bertolini, A., Gorovenko Shutkin, S. Works on Intellectual Property” Ladenkov, N.

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Viso.ai

OCTOBER 9, 2024

Human-machine interaction is an important area of research where machine learning algorithms with visual perception aim to gain an understanding of human interaction. State-of-the-art emotion AI Algorithms Outlook, current research, and applications What Is AI Emotion Recognition? About us: Viso.ai What is Emotion AI?

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ODSC - Open Data Science

DECEMBER 19, 2023

billion in 2021 to $331.2 They use their knowledge of machine learning algorithms, programming languages, and data science tools to build models that can be used to automate tasks and make predictions. Machine learning algorithms are a set of mathematical equations that are used to learn from data. billion by 2026.

AI Product Manager 96

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AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. Question answering Context: NLP Cloud was founded in 2021 when the team realized there was no easy way to reliably leverage Natural Language Processing in production. Question: When was NLP Cloud founded?

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Chatbots Life

MAY 23, 2024

billion in 2021 and is projected to grow at a CAGR of 22.5% Thanks to the advancements in Artificial Intelligence (AI), machine learning algorithms, and Natural Language Processing (NLP), speech recognition has become more sophisticated and efficient in the medical industry. from 2023 to 2030.

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ODSC - Open Data Science

JUNE 13, 2023

billion social media users worldwide in 2021, which marks a five percent increase from 2020. billion in 2021. The average annual growth in social media consumers has been 230 million between 2017 and 2021. In the third quarter of the year 2021, Facebook reported over 3.58 HOW MANY PEOPLE USE SOCIAL MEDIA IN 2021?HOW

Data Science 52

Data Science Natural Language Processing Python Machine Learning 52

NVIDIA Developer

MAY 21, 2021

Thursday, June 10, 2021 - 09:00 Indian/Maldives Speakers Pallab Maji Senior Solutions Architect - Deep Learning at NVIDIA NVIDIA Pallab is fascinated with artificial intelligence and works on machine learning for computer vision and natural language processing. Capacity: 999 Status: Open

Deep Learning 40

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ML @ CMU

FEBRUARY 24, 2023

This formulation also allows us to employ off-the-shelf RL algorithms (e.g., Webson and Pavlick (2021) , Zhao et al., 2021) , and Prasad et al., 2022) ) that LMs making use of prompts do not necessarily follow human language patterns. We describe the specific formulations in Section §2.1-2.3 of our paper.

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AWS Machine Learning Blog

JUNE 1, 2023

Since its introduction in 2021, ByteTrack remains to be one of best performing methods on various benchmark datasets, among the latest model developments in MOT application. The experiments showed improvements compared to the vanilla tracker algorithms. For example, FairMOT achieved an improvement of 1.3%

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Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. It is based on GPT and uses machine learning algorithms to generate code suggestions as developers write.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. Bender [2] highlighted the need for language independence in 2011. 10 years on, little thus seems to have changed.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Sebastian Ruder

AUGUST 23, 2021

Recent models "have outpaced the benchmarks to test for them" ( AI Index Report 2021 ), quickly reaching super-human performance on standard benchmarks such as SuperGLUE and SQuAD. Does this mean that we have solved natural language processing? Far from it. Header image: Performance on SQuAD 2.0

NLP 52

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Topbots

JUNE 22, 2023

SA is a very widespread Natural Language Processing (NLP). In 2021 I and some colleagues published a research article on how to employ sentiment analysis on a applied scenario. Outperforming algorithmic trading reinforcement learning systems: A supervised approach to the cryptocurrency market. Felizardo, L.

Machine Learning 111

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Dlabs.ai

JUNE 29, 2023

These digital assistants employ advanced technologies such as Artificial Intelligence (AI) and Natural Language Processing (NLP) to comprehend and respond to various user queries in a conversational manner. A chatbot is a sophisticated software application designed to simulate human-like conversations.

Chatbots 105

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

user {query} assistant """ PROMPT = PromptTemplate( template=prompt_template, input_variables=["query"] ) query = "How did AWS perform in 2021?" We showed you how to create a robust vector store by processing documents of various formats and generating embeddings. prompt_template = """ system You are a helpful assistant.

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LLM Generative AI Metadata Python 134

Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

Neural Network 52

Neural Network BERT Large Language Models Natural Language Processing 52

Viso.ai

DECEMBER 10, 2023

An introduction The basic concepts and how it works Traditional and modern deep learning image recognition The best popular image recognition algorithms How to use Python for image recognition Examples and deep learning applications Popular image recognition software About: We provide the leading end-to-end computer vision platform Viso Suite.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Mlearning.ai

APRIL 10, 2023

3 feature visual representation of a K-means Algorithm. Essentially, the clustering algorithm is grouping data points together without any prior knowledge or guidance to discover hidden patterns or unusual data groupings without the need for human interference.

Algorithm 52

Algorithm Machine Learning Data Analysis Deep Learning 52

Bugra Akyildiz

FEBRUARY 26, 2025

Stanford CS224n: Natural Language Processing with Deep Learning Stanford’s CS224n stands as the gold standard for NLP education, offering a rigorous exploration of neural architectures, sequence modeling, and transformer-based systems. Unlike CMU’s specialized tracks, 6.S191 Cornell Class Videos are in here.

Deep Learning 40

Deep Learning Machine Learning NLP Robotics 40

Robot Writers AI

MAY 28, 2023

ad Essentially, by employing advanced algorithms, natural language processing, data gathering and analytics, the tool — dubbed ‘WELLS’ — will be able to autonomously research, verify, and write news articles across multiple platforms at unprecedented scales, according to a press release from maker HeyWire AI.

Automation 87

Automation ChatGPT AI AI 87

Pickl AI

JANUARY 29, 2024

Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. Key takeaways Data Science lays the groundwork for Machine Learning, providing curated datasets for ML algorithms to learn and make predictions. AI comprises Natural Language Processing, computer vision, and robotics.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

NVIDIA Developer

MAY 20, 2021

Chung , posted May 21 2021 at 12:03AM Businesses worldwide are using artificial intelligence to solve their greatest challenges. In this workshop, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing.

Natural Language Processing 40

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