Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. This is important because training ML models and then using the trained models to make predictions (inference) can be highly energy-intensive tasks.

Machine Learning 123

Machine Learning BERT Deep Learning ML Engineer 123

AWS Machine Learning Blog

MARCH 22, 2024

Aris Tsakpinis is a Specialist Solutions Architect for AI & Machine Learning with a special focus on natural language processing (NLP), large language models (LLMs), and generative AI. In his free time he is pursuing a PhD in ML Engineering at University of Regensburg, focussing on applied NLP in the science domain.

Large Language Models 111

Large Language Models Natural Language Processing NLP Software Engineer 111

Marktechpost

SEPTEMBER 25, 2024

For ML engineers, a decision tree guides the selection of techniques based on priorities like inference time, accuracy, energy consumption, and economic impact. The study highlights dynamic quantization’s benefits and suggests future work on NLP models, multimodal applications, and TensorFlow optimizations. Check out the Paper.

Machine Learning 103

Machine Learning ML Software Engineer ML Engineer 103

Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. Author(s): Jennifer Wales Originally published on Towards AI.

AI Engineer 111

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 111

Towards AI

JANUARY 6, 2025

AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc. However, you are expected to possess intermediate coding experience and a background as an AI ML engineer; to begin with the course.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

AWS Machine Learning Blog

FEBRUARY 28, 2024

This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL. With the emergence of large language models (LLMs), NLP-based SQL generation has undergone a significant transformation.

Metadata 130

Metadata Generative AI LLM NLP 130

Chatbots Life

MAY 12, 2023

As everything is explained from scratch but extensively I hope you will find it interesting whether you are NLP Expert or just want to know what all the fuss is about. We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers. Will ChatGPT replace software engineers?

ChatGPT 90

ChatGPT Software Engineer NLP ML Engineer 90

AWS Machine Learning Blog

FEBRUARY 12, 2025

About the authors Daniel Zagyva is a Senior ML Engineer at AWS Professional Services. She is leading the content intelligence track which is focused on building, training and deploying content models (computer vision, NLP and generative AI) using the most advanced technologies and models.

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LLM ML Natural Language Processing Machine Learning 78

Analytics Vidhya

OCTOBER 31, 2023

Introduction Have you ever wondered what the future holds for data science careers? Yes, you are guessing it right– endless opportunities. Data science has become the topmost emerging field in the world of technology. There is an increased demand for skilled data enthusiasts in the field of data science.

Data Science 326

Data Science Data Scientist ML Engineer ML 326

ODSC - Open Data Science

APRIL 18, 2023

Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr. Stop by for live demonstrations of their products and services and gather the data you need to make that build vs. buy decision.

Data Science 98

Data Science Software Architect Machine Learning ML Engineer 98

AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

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Large Language Models LLM Big Data Machine Learning 132

AWS Machine Learning Blog

APRIL 29, 2024

Historically, natural language processing (NLP) would be a primary research and development expense. In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows.

ML 121

ML Python Data Scientist Machine Learning 121

Pickl AI

APRIL 19, 2023

Different industries from education, healthcare to marketing, retail and ecommerce require Machine Learning Engineers. Job market will experience a rise of 13% by 2026 for ML Engineers Why is Machine Learning Important? Accordingly, an entry-level ML engineer will earn around 5.1 Consequently.

Machine Learning 52

Machine Learning ML Engineer Data Scientist ML 52

ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Agentic AI DesignPatterns LLMs & RAG forAgents Agent Architectures &Chaining Evaluating AI Agent Performance Building with LangChain and LlamaIndex Real-World Applications of Autonomous Agents Who Should Attend: Data Scientists, Developers, AI Architects, and ML Engineers seeking to build cutting-edge autonomous systems.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

AWS Machine Learning Blog

DECEMBER 14, 2023

For further insights into how Talent.com and AWS collaboratively built cutting-edge natural language processing and deep learning model training techniques, utilizing Amazon SageMaker to craft a job recommendation system, refer to From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker.

ETL 103

ETL Data Scientist Machine Learning Deep Learning 103

AWS Machine Learning Blog

MARCH 14, 2024

Amazon Kendra uses natural language processing (NLP) to understand user queries and find the most relevant documents. Grace Lang is an Associate Data & ML engineer with AWS Professional Services. Mike Amjadi is a Data & ML Engineer with AWS ProServe focused on enabling customers to maximize value from data.

Generative AI 124

Generative AI LLM AI AI 124

AWS Machine Learning Blog

MAY 13, 2024

We benchmark the results with a metric used for evaluating summarization tasks in the field of natural language processing (NLP) called Recall-Oriented Understudy for Gisting Evaluation (ROUGE). This post then seeks to assess whether prompt engineering is more performant for clinical NLP tasks compared to the RAG pattern and fine-tuning.

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Generative AI Prompt Engineer Prompt Engineering LLM 128

Towards AI

FEBRUARY 20, 2025

But who exactly is an LLM developer, and how are they different from software developers and ML engineers? The approach enables controlled experimentation by leveraging synthetic data, reducing computational costs while improving LLM performance, with potential scalability to real-world NLP tasks.

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Neural Network Explainability LLM Software Development 79

Chatbots Life

MAY 16, 2023

Services : AI Solution Development, ML Engineering, Data Science Consulting, NLP, AI Model Development, AI Strategic Consulting, Computer Vision. Generative AI integration service : proposes to train Generative AI on clients data and add new features to products.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

AWS Machine Learning Blog

MARCH 13, 2024

The traditional method of training an in-house classification model involves cumbersome processes such as data annotation, training, testing, and model deployment, requiring the expertise of data scientists and ML engineers. LLMs, in contrast, offer a high degree of flexibility.

Natural Language Processing 129

Natural Language Processing LLM Prompt Engineering Prompt Engineer 129

AWS Machine Learning Blog

JANUARY 25, 2023

Amazon SageMaker Clarify is a feature of Amazon SageMaker that enables data scientists and ML engineers to explain the predictions of their ML models. In this post, we illustrate the use of Clarify for explaining NLP models. Configure Clarify Clarify NLP is compatible with regression and classification models.

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Explainability Algorithm Natural Language Processing Machine Learning 84

Heartbeat

OCTOBER 23, 2023

The Role of Data Scientists and ML Engineers in Health Informatics At the heart of the Age of Health Informatics are data scientists and ML engineers who play a critical role in harnessing the power of data and developing intelligent algorithms.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52

AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning.

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LLM ML Generative AI Machine Learning 126

AWS Machine Learning Blog

FEBRUARY 21, 2025

The concept of a compound AI system enables data scientists and ML engineers to design sophisticated generative AI systems consisting of multiple models and components. Yunfei has a PhD in Electronic and Electrical Engineering. His area of research is all things natural language (like NLP, NLU, and NLG).

LLM 81

LLM AI AI Data Scientist 81

AWS Machine Learning Blog

NOVEMBER 30, 2023

In this example, Code Editor can be used by an ML engineering team who needs advanced IDE features to debug their code and deploy the endpoint. He has worked on projects in different domains, including MLOps, computer vision, and NLP, involving a broad set of AWS services. You can find the sample code in this GitHub repo.

Machine Learning 124

Machine Learning ML LLM Python 124

AWS Machine Learning Blog

OCTOBER 19, 2023

Amazon Comprehend is a natural language processing (NLP) service that uses ML to uncover insights and relationships in unstructured data, with no managing infrastructure or ML experience required. Amazon SageMaker provides purpose-built tools for ML teams to automate and standardize processes across the ML lifecycle.

Machine Learning 110

Machine Learning Python ML Automation 110

The MLOps Blog

NOVEMBER 14, 2023

Visualizing deep learning models can help us with several different objectives: Interpretability and explainability: The performance of deep learning models is, at times, staggering, even for seasoned data scientists and ML engineers. Data scientists and ML engineers: Creating and training deep learning models is no easy feat.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Allen AI

NOVEMBER 8, 2023

Patrick Beukema is the Lead ML Engineer for Skylight Patrick Beukema is the Lead ML Engineer for Skylight. At this year’s hackathon, a strong collaboration with Aristo ’s (one of AI2’s NLP/ reasoning teams) enabled us to create an initial version of this model within a 24-hour timeframe.

Computer Vision 52

Computer Vision ML Engineer ML Neural Network 52

Flipboard

MARCH 13, 2023

After meticulous analysis of the evaluation results, the data scientist or ML engineer can deploy the new model if the performance of the newly trained model is better compared to the previous version. He is passionate about recommendation systems, NLP, and computer vision areas in AI and ML.

Data Scientist 123

Data Scientist Auto-complete Machine Learning ML 123

AWS Machine Learning Blog

AUGUST 16, 2023

Thomson Reuters Labs, the company’s dedicated innovation team, has been integral to its pioneering work in AI and natural language processing (NLP). This technology was one of the first of its kind, using NLP for more efficient and natural legal research. A key milestone was the launch of Westlaw Is Natural (WIN) in 1992.

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Large Language Models Machine Learning Generative AI ML 88

ODSC - Open Data Science

NOVEMBER 25, 2024

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. Top Sessions With sessions both online and in-person in South San Francisco, there was something for everyone at ODSC East.

Data Science 52

Data Science AI Engineer Machine Learning Prompt Engineering 52

AWS Machine Learning Blog

NOVEMBER 21, 2023

He specializes in Search, Retrieval, Ranking and NLP related modeling problems. His team of scientists and ML engineers is responsible for providing contextually relevant and personalized search results to Amazon Music customers. Siddharth spent early part of his career working with bay area ad-tech startups.

ML 104

ML Deep Learning Machine Learning DevOps 104

AWS Machine Learning Blog

APRIL 12, 2023

ToxMod runs a series of machine learning (ML) models that analyze the emotional, textual, and conversational aspects of voice conversations to determine if there are any violations of the publisher’s or platform’s content policies. Violations are flagged to human moderators who can take action against bad actors.

Neural Network 76

Neural Network Machine Learning ML ML Engineer 76

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

Marktechpost

JULY 19, 2023

Stakeholders such as ML engineers, designers, and domain experts must work together to identify a model’s expected and potential faults. For instance, they could fail to embed fundamental capabilities like accurate grammar in NLP systems or cover up systemic flaws like societal prejudices.

Machine Learning 52

Machine Learning ML Python Metadata 52

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Throughout this exercise, you use Amazon Q Developer in SageMaker Studio for various stages of the development lifecycle and experience firsthand how this natural language assistant can help even the most experienced data scientists or ML engineers streamline the development process and accelerate time-to-value.

ML 83

ML Computer Vision Data Scientist Machine Learning 83

AWS Machine Learning Blog

SEPTEMBER 1, 2023

After the completion of the research phase, the data scientists need to collaborate with ML engineers to create automations for building (ML pipelines) and deploying models into production using CI/CD pipelines. Security SMEs review the architecture based on business security policies and needs.

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Generative AI Prompt Engineering Prompt Engineer ML 124