Google Research AI blog

MARCH 30, 2023

Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen Paritosh, Senior Research Scientist, Google Research, Brain Team Machine learning (ML) offers tremendous potential, from diagnosing cancer to engineering safe self-driving cars to amplifying human productivity. Each step can introduce issues and biases.

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NYU Center for Data Science

JUNE 8, 2023

The NYU AI School returned with its fourth iteration this summer, May 31 — June 4, 2023. The free week-long course was launched and generously funded by the NYU ML² Machine Learning for Language Lab and organized by students from the CDS and NYU’s Courant Institute.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Which is also our topic today. Specifically, the paraphrasing of text with the help of AI.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI. Which is also our topic today. Specifically, the paraphrasing of text with the help of AI.

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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages.

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. 2023| New| NA|36895.00|36895|

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Data Science Dojo

AUGUST 28, 2023

Development to production workflow LLMs Large Language Models (LLMs) represent a novel category of Natural Language Processing (NLP) models that have significantly surpassed previous benchmarks across a wide spectrum of tasks, including open question-answering, summarization, and the execution of nearly arbitrary instructions.

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Towards AI

MARCH 21, 2023

Last Updated on March 21, 2023 by Editorial Team Author(s): Ivan Reznikov Originally published on Towards AI. When I was younger, I was sure that ML could, if not overperform, at least match the pre-ML-era solutions almost everywhere. ML algorithms can improve their performance as more data is used for training.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. NLTK is appreciated for its broader nature, as it’s able to pull the right algorithm for any job.

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Heartbeat

JULY 18, 2023

Source: Author Natural Language Processing (NLP) is a field of study focused on allowing computers to understand and process human language. There are many different NLP techniques and tools available, including the R programming language. keep_active: determines whether to keep the experiment active or not.

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Mlearning.ai

JUNE 7, 2023

This ability to understand long-range dependencies helps transformers better understand the context of words and achieve superior performance in natural language processing tasks. Photo by Pietro Mattia on Unsplash Now in 2023, we are firmly in the LLM hype train.

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Towards AI

MAY 3, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. This is where ML CoPilot enters the scene. In this paper, the authors suggest the use of LLMs to make use of past ML experiences to suggest solutions for new ML tasks.

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Data Science Dojo

OCTOBER 27, 2023

Data Science Dojo Large Language Models Bootcamp The Data Science Dojo Large Language Models Bootcamp is a 5-day in-person bootcamp that teaches you everything you need to know about large language models (LLMs) and their real-world applications. Students will start with the basics and gradually delve into advanced topics.

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Data Science Dojo

JANUARY 20, 2023

Bellevue, Washington (January 11, 2023) – The following statement was released today by Data Science Dojo, through its Marketing Manager Nathan Piccini, in response to questions about future in-person bootcamps: “They’re back.” Just because the bootcamp ends, doesn’t mean your education does.

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Dataversity

DECEMBER 16, 2022

2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning. Unsupervised and self-supervised learning are making ML more accessible by lowering the training data requirements.

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AWS Machine Learning Blog

AUGUST 28, 2023

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. During the datathon, my team member and I conducted research on different ML models (LightGBM, logistic regression, SVM models, Random Forest Classifier, etc.)

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Towards AI

MAY 2, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. Use plain English to build ML models to identify profitable customer segments. In this post, we explore the concept of querying data using natural language, eliminating the need for SQL queries or coding skills.

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Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Gaugarin Oliver Originally published on Towards AI. It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. This study by Bui et al.

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Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies to Drive Customer Support in 2023 If you’ve been following the buzz around ChatGPT, OpenAI, and generative AI, it’s likely that you’re interested in finding the best Generative AI integration provider for your business. Elite Service Delivery partner of NVIDIA.

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Dataconomy

AUGUST 7, 2023

An AI database is not merely a repository of information but a dynamic and specialized system meticulously crafted to cater to the intricate demands of AI and ML applications. Herein lies the crux of the AI database’s significance: it is tailored to meet the intricate requirements that underpin the success of AI and ML endeavors.

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Flipboard

JULY 31, 2023

Underneath AI, we have Machine Learning (ML) , which is a type of AI that enables computers to learn without being explicitly programmed. AI in Blog Writing AI blog writing software operates on Natural Language Processing (NLP) , a branch of AI that deals with the interaction between computers and human language.

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ODSC - Open Data Science

APRIL 11, 2023

Julien Simon | Chief Evangelist | Hugging Face Interpreting Features in Deep Networks Despite significant advances in interpretable machine learning in recent years, many ML models — especially deep networks — to understand and control. At ODSC East 2023 this May, we have an entire track devoted to NLP.

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Pickl AI

JANUARY 29, 2024

2024 Tech breakdown: Understanding Data Science vs ML vs AI Quoting Eric Schmidt , the former CEO of Google, ‘There were 5 exabytes of information created between the dawn of civilisation through 2003, but that much information is now created every two days.’ AI comprises Natural Language Processing, computer vision, and robotics.

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AWS Machine Learning Blog

APRIL 2, 2024

SageMaker JumpStart is the machine learning (ML) hub of SageMaker that provides access to foundation models in addition to built-in algorithms to help you quickly get started with ML. Solar is a compact and powerful model for English and Korean languages. In December 2023, the Solar 10.7B What’s the Solar model?

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Google Research AI blog

APRIL 19, 2023

This transformative potential requires us to be responsible not only in how we advance our technology, but also in how we envision which technologies to build, and how we assess the social impact AI and ML-enabled technologies have on the world. Below, we share examples of our approach to Responsible AI and where we are headed in 2023.

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Flipboard

NOVEMBER 20, 2023

In SageMaker Studio, the integrated development environment (IDE) purpose-built for ML, you can launch notebooks that run on different instance types and with different configurations, collaborate with colleagues, and access additional purpose-built features for machine learning (ML).

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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. bedrock = boto3.client(service_name='bedrock-runtime',

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Mlearning.ai

MAY 31, 2023

With advancements in Natural Language Processing (NLP) and the introduction of models like ChatGPT, chatbots have become increasingly popular and powerful tools for automating conversations. In this article, we will explore the process of creating a simple chatbot using Python and NLP techniques.

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Towards AI

AUGUST 25, 2023

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced).

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AWS Machine Learning Blog

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. To show you an example of switching between hybrid and semantic (vector) search options, we have created a knowledge base using the Amazon 10K document for 2023. billion for 2021, 2022, and 2023. billion for 2021, 2022, and 2023.

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AWS Machine Learning Blog

AUGUST 16, 2023

MLOps is a key discipline that often oversees the path to productionizing machine learning (ML) models. It’s natural to focus on a single model that you want to train and deploy. However, in reality, you’ll likely work with dozens or even hundreds of models, and the process may involve multiple complex steps.

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Mlearning.ai

AUGUST 4, 2023

In recent years, the field of natural language processing (NLP) has witnessed a remarkable shift in the way sequential data is processed… Continue reading on MLearning.ai »

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AWS Machine Learning Blog

OCTOBER 31, 2023

They addressed that challenge by using a Retriever-Augmented Generation open source large language model available on Amazon SageMaker JumpStart to process large amounts of external knowledge pulled and exhibit corporate or public relationships among ERP records.

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AWS Machine Learning Blog

MARCH 15, 2024

Werner Vogels’s own words at AWS re:Invent 2023 , “every second that a person has a stroke counts.” Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. Stroke victims can lose around 1.9 So why hasn’t it been used yet?

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NYU Center for Data Science

MARCH 15, 2023

It is supported by the NYU ML² Machine Learning for Language Lab , a team of researchers developing machine-learning methods for natural language processing (NLP) affiliated with the CILVR Lab , and the Center for Data Science. Please visit NYU AI School’s YouTube channel to view the recently published lectures.

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Mlearning.ai

JULY 22, 2023

Natural Language Processing (NLP) has been a rapidly evolving field over the last decade, with groundbreaking research and advancements in… Continue reading on MLearning.ai »

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