Dataconomy

APRIL 4, 2025

Understanding prompt engineering The process of prompt engineering involves several steps aimed at developing prompts that elicit the best possible outputs from AI systems. This includes an understanding of user interaction, which enhances overall experience by generating customized content, such as essays and blog posts.

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DrivenData Labs

MAY 18, 2023

I work on machine learning for natural language processing, and I’m particularly interested in few-shot learning, lifelong learning, and societal and health applications such as abuse detection, misinformation, mental ill-health detection, and language assessment. How did you get started in data science?

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NYU Center for Data Science

JULY 24, 2024

This entry is part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS. Ravfogel is currently completing his PhD in the Natural Language Processing Lab at Bar-Ilan University, supervised by Prof. Yoav Goldberg.

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Data Science Dojo

AUGUST 18, 2023

In this blog, we will take a deep dive into LLMs, including their building blocks, such as embeddings, transformers, and attention. To test your knowledge, we have included a crossword or quiz at the end of the blog. Transformers are a type of neural network that are well-suited for natural language processing tasks.

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NYU Center for Data Science

JULY 27, 2023

This entree is a part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS CDS Faculty Fellow, Saadia Gabriel Meet CDS Faculty Fellow Saadia Gabriel, who will be joining us this fall. Allen School of Computer Science & Engineering at the University of Washington. “My

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Flipboard

APRIL 24, 2025

This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. This optional step has the most value when there are many named resources and the lookup process is complex.

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Data Science Dojo

JULY 4, 2023

Their responsibilities can range from building chatbots and smart assistants with natural language processing (NLP) to developing internal algorithms and programs that help automate a company’s processes. We hope this Generative AI Roadmap blog is helpful.

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Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

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AWS Machine Learning Blog

OCTOBER 31, 2024

He studies Computer Science and Math at the University of Washington and is currently between his second and third year. In his free time, Sundar loves exploring new places, sampling local eateries and embracing the great outdoors. Alan Ismaiel is a software engineer at AWS based in New York City.

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AWS Machine Learning Blog

OCTOBER 23, 2024

Amazon Connect forwards the user’s message to Amazon Lex for natural language processing. Mani Khanuja is a Tech Lead – Generative AI Specialist, author of the book Applied Machine Learning and High Performance Computing on AWS , and a member of the Board of Directors for Women in Manufacturing Education Foundation Board.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

It provides a common framework for assessing the performance of natural language processing (NLP)-based retrieval models, making it straightforward to compare different approaches. Yang holds a Bachelor’s and Master’s degree in Computer Science from Texas A&M University.

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Dataversity

JUNE 21, 2022

NLP, natural language processing, is a subfield of linguistics, computer science, and AI that is concerned with interactions between computers and human language. NLP allows computers to process large amounts of natural language data.

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Flipboard

MAY 15, 2025

Qualtrics harnesses the power of generative AI, cutting-edge machine learning (ML), and the latest in natural language processing (NLP) to provide new purpose-built capabilities that are precision-engineered for experience management (XM). Customer Solutions Manager in the ISV Strategic Accounts organization at AWS.

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AWS Machine Learning Blog

MARCH 21, 2025

million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Generate metadata Using natural language processing, you can generate metadata for the paper to aid in searchability.

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Dataconomy

MARCH 14, 2023

In recent years, natural language processing and conversational AI have gained significant attention as technologies that are transforming the way we interact with machines and each other. It is a significant initial step towards the objective of supporting 1,000 languages. What is natural language processing (NLP)?

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AWS Machine Learning Blog

SEPTEMBER 22, 2023

The collected responses (often referred to as demonstration data) are used in a process called supervised fine-tuning (SFT). In this blog post, we ask annotators to rank model outputs based on specific parameters, such as helpfulness, truthfulness, and harmlessness. The following diagram illustrates this architecture.

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AWS Machine Learning Blog

JUNE 3, 2025

Amazon Elastic Compute Cloud (Amazon EC2) serves as the primary compute layer, using Spot Instances to optimize costs. Amazon Simple Storage Service (Amazon S3) provides secure storage for conversation logs and supporting documents, and Amazon Bedrock powers the core natural language processing capabilities.

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AWS Machine Learning Blog

APRIL 7, 2025

Clean up After completing the steps in this blog post, make sure to clean up your resources to avoid incurring unnecessary charges. Additionally, consider deleting test documents uploaded to S3 buckets specifically for this blog example to avoid storage charges. He studied computer science at UW Seattle.

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AWS Machine Learning Blog

JUNE 18, 2024

Her expertise is in building machine learning solutions involving computer vision and natural language processing for various industry verticals. He specializes in building machine learning pipelines that involve concepts such as natural language processing and computer vision.

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AWS Machine Learning Blog

MAY 15, 2025

He started machine learning research at IRISA (Research Institute of Computer Science and Random Systems), and has several years of experience building AI-powered industrial applications in computer vision, natural language processing, and online user behavior prediction.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

Summary We built Amazon CodeWhisperer customization capability based on a mixture of the leading technical techniques discussed in this blog post and evaluated it with user studies on developer productivity, conducted by Persistent Systems. Her research interests lie in Natural Language Processing, AI4Code and generative AI.

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AWS Machine Learning Blog

AUGUST 1, 2024

To address these challenges, insurers are increasingly turning to advanced technologies such as machine learning, natural language processing, and intelligent document processing solutions. Alfredo has a background in both electrical engineering and computer science.

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AWS Machine Learning Blog

AUGUST 28, 2024

The RAG workflow enables you to use your document data stored in an Amazon Simple Storage Service (Amazon S3) bucket and integrate it with the powerful natural language processing (NLP) capabilities of foundation models (FMs) provided by Amazon Bedrock. He specializes in building AI/ML solutions using Amazon SageMaker.

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AWS Machine Learning Blog

JUNE 27, 2024

in Computer Science from Stanford University, taught for three years as an assistant professor at NUST(Pakistan), and did a post-doc in fast data analytics systems at EPFL. His current research interests include natural language processing and multimodal learning, particularly using large language models and large multimodal models.

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AWS Machine Learning Blog

MARCH 14, 2025

Before this role, he obtained an MS in Computer Science from NYU Tandon School of Engineering. Raj specializes in Machine Learning with applications in Generative AI, Natural Language Processing, Intelligent Document Processing, and MLOps. Outside of work, he enjoys sports, lifting, and running marathons.

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AWS Machine Learning Blog

FEBRUARY 14, 2023

In this blog post, we focus on retrieving custom search results that apply to a specific user or user group. Based on this, for example, you can ensure that users from the computer science department will get search results ranked according to their relevance to the department.

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AWS Machine Learning Blog

JUNE 25, 2024

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. She demonstrated her expertise in machine learning, particularly in natural language processing, to develop data-driven solutions that optimize business processes and improve customer experiences.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. He possesses expertise in natural language processing (NLP), recommender systems, diverse ML algorithms, and ML operations.

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AWS Machine Learning Blog

NOVEMBER 22, 2024

For example, an ecommerce application such as Amazon.com could use a similarly formatted dataset for fine-tuning a model for natural language processing (NLP) analysis to gauge interest in products sold. Before joining AWS, Aman graduated from Rice University with degrees in computer science, mathematics, and entrepreneurship.

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Google Research AI blog

APRIL 19, 2023

TASC thus leverages the strengths of an interdisciplinary team, with backgrounds ranging from computer science to social science, digital media and urban science. Our work advances Responsible AI (RAI) in areas such as computer vision , natural language processing , health , and general purpose ML models and applications.

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Data Science Dojo

JUNE 4, 2024

In this blog, we will explore this world of knowledge to explore the best books on AI that are available in the market today. Some common topics discussed and covered in AI books include search algorithms, machine learning, natural language processing, and computer vision – the building blocks of intelligent systems.

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AWS Machine Learning Blog

MAY 31, 2024

The output shows the expected JSON file content, illustrating the model’s natural language processing (NLP) and code generation capabilities. He holds a Bachelor’s degree in Computer Science and Bioinformatics. He got his master’s from Courant Institute of Mathematical Sciences and B.Tech from IIT Delhi.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

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Pickl AI

DECEMBER 26, 2024

While AI and Quantum Computing may seem distinct at first glance, their convergence is poised to revolutionize various industries and redefine our understanding of computation and intelligence. Key Takeaways Quantum Computing significantly accelerates AI model training and data processing times.

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AWS Machine Learning Blog

APRIL 16, 2025

The increased usage of generative AI models has offered tailored experiences with minimal technical expertise, and organizations are increasingly using these powerful models to drive innovation and enhance their services across various domains, from natural language processing (NLP) to content generation.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

As LLMs have grown larger, their performance on a wide range of natural language processing tasks has also improved significantly, but the increased size of LLMs has led to significant computational and resource challenges. Training and deploying these models requires vast amounts of computing power, memory, and storage.

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AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. in Computer Science from the University of Southern California , Los Angeles, USA. in Electrical Engineering and Computer Sciences from UC Berkeley in 2008. Chaoyang He is Co-founder and CTO of FedML, Inc., He received his Ph.D.

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