AWS Machine Learning Blog

FEBRUARY 12, 2025

medium instance with a Python 3 (ipykernel) kernel. About the authors Daniel Zagyva is a Senior ML Engineer at AWS Professional Services. Moran is also a PhD candidate, researching applying NLP models on social graphs. Manos Stergiadis is a Senior ML Scientist at Booking.com.

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LLM ML Natural Language Processing Machine Learning 77

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 114

Machine Learning Python ML Automation 114

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.

Data Science 98

Data Science Software Architect Machine Learning ML Engineer 98

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 108

ETL Data Scientist Machine Learning Deep Learning 108

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. Refer to the Python documentation for an example. The function sends that average to CloudWatch metrics.

Large Language Models 136

Large Language Models LLM Big Data Machine Learning 136

AWS Machine Learning Blog

FEBRUARY 21, 2025

We use DSPy (Declarative Self-improving Python) to demonstrate the workflow of Retrieval Augmented Generation (RAG) optimization, LLM fine-tuning and evaluation, and human preference alignment for performance improvement. Examples are similar to Python dictionaries but with added utilities such as the dspy.Prediction as a return value.

LLM 85

LLM AI AI Data Scientist 85

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?

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ChatGPT Software Engineer NLP ML Engineer 90

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 128

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. We use the SageMaker Python SDK for this purpose.

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Explainability Algorithm Natural Language Processing Machine Learning 89

AWS Machine Learning Blog

NOVEMBER 30, 2023

This container image has all the most popular ML frameworks supported by SageMaker, along with SageMaker Python SDK , boto3 , and other AWS and data science specific libraries installed. 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.

Machine Learning 126

Machine Learning ML LLM Software Engineer 126

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 Engineering Prompt Engineer LLM 132

Towards AI

FEBRUARY 20, 2025

But who exactly is an LLM developer, and how are they different from software developers and ML engineers? Laufeyson5190 is learning ML basics and is inviting other beginners to create a study group. If you are skilled in Python or computer vision, diffusion models, or GANS, you might be a great fit. Meme of the week!

Neural Network 79

Neural Network Explainability LLM Software Development 79

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? It includes learning Python, R, Java, C++, SQL, etc. Consequently.

Machine Learning 52

Machine Learning ML Engineer Data Scientist ML 52

AWS Machine Learning Blog

NOVEMBER 21, 2023

NVIDIA Triton Inference Server provides two different kind backends: one for hosting models on GPU, and a Python backend where you can bring your own custom code to be used in preprocessing and postprocessing steps. He specializes in Search, Retrieval, Ranking and NLP related modeling problems.

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ML Deep Learning Machine Learning DevOps 108

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 86

ML Computer Vision Data Scientist Machine Learning 86

Pickl AI

MAY 30, 2023

Instances of Professionals courses include Data Science Bootcamp Job Guarantee, Python for Data Science, Data Analytics, Business Analytics, etc. With the short-term certification program in Machine Learning and NLP you will be able to enhance your skills and gain job in the market effectively. Lakhs annually.

Data Mining 52

Data Mining Data Science Machine Learning Deep Learning 52

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 Prompt Engineering Prompt Engineer 52

AWS Machine Learning Blog

JUNE 13, 2023

This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc. He focuses on Deep learning including NLP and Computer Vision domains. Forethought is a leading generative AI suite for customer service.

Generative AI 82

Generative AI Auto-complete AI Modeling Machine Learning 82

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

AWS Machine Learning Blog

AUGUST 1, 2023

It offers an easy-to-use API and Python SDK, balancing quality and affordability. By fine-tuning the model with your domain-specific data, you can optimize its performance for your particular use case, such as text summarization or any other NLP task. No ML engineering experience required. It’s as easy as that!

ML 92

ML Large Language Models NLP Machine Learning 92

AWS Machine Learning Blog

JUNE 8, 2023

This enables you to begin machine learning (ML) quickly. It performs well on various natural language processing (NLP) tasks, including text generation. A SageMaker real-time inference endpoint enables fast, scalable deployment of ML models for predicting events. This is your Custom Python Hook speaking!"

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Generative AI LLM Machine Learning Large Language Models 92

Snorkel AI

OCTOBER 12, 2023

The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts. In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year.

Data Scientist 64

Data Scientist ML Computer Vision AI 64

Snorkel AI

OCTOBER 12, 2023

The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts. In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year.

Data Scientist 52

Data Scientist NLP ML Computer Vision 52

Snorkel AI

OCTOBER 12, 2023

The center aimed to address recurring bottlenecks in their ML projects and improve collaborative workflows between data scientists and subject-matter experts. In this presentation, center NLP Engineer James Dunham shares takeaways from the half-dozen project teams who used Snorkel in the past year.

Data Scientist 59

Data Scientist ML Computer Vision AI 59

AWS Machine Learning Blog

MARCH 1, 2023

Machine learning (ML) engineers can fine-tune and deploy text-to-semantic-segmentation and in-painting models based on pre-trained CLIPSeq and Stable Diffusion with Amazon SageMaker. He is a dedicated applied AI/ML researcher, concentrating on CV, NLP, and multimodality.

Generative AI 101

Generative AI AI AI Auto-classification 101

The MLOps Blog

OCTOBER 3, 2023

How did you manage to jump from a more analytical, scientific type of role to a more engineering one? I actually did not pick up Python until about a year before I made the transition to a data scientist role. I see so many of these job seekers, especially on the MLOps side or the ML engineer side. It’s two things.

ML 52

ML Data Scientist Machine Learning Data Science 52

Mlearning.ai

MAY 3, 2023

An open-source, low-code Python wrapper for easy usage of the Large Language Models such as ChatGPT, AutoGPT, LLaMa, GPT-J, and GPT4All An introduction to “ pychatgpt_gui” —  A GUI-based APP for LLM’s with custom-data training and pre-trained inferences. It is an open-source python package. The launched APP snapshot is as seen below.

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Large Language Models Python Auto-complete Natural Language Processing 52

The MLOps Blog

MARCH 21, 2023

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. In this comprehensive guide, we’ll explore everything you need to know about machine learning platforms, including: Components that make up an ML platform.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

AWS Machine Learning Blog

OCTOBER 17, 2024

Amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. The storage resources for SageMaker Studio spaces are Amazon Elastic Block Store (Amazon EBS) volumes, which offer low-latency access to user data like notebooks, sample data, or Python/Conda virtual environments.

Data Science 114

Data Science ML Machine Learning Computer Vision 114

ODSC - Open Data Science

MARCH 11, 2025

To make the most out of this interactive session, participants should ensure theyhave: A Linux or Mac-based Developers Laptop Windows Users should use a VM or CloudInstance Python Installed: version 3.10 He brings deep expertise in building and training models for applications like NLP, data visualization, and real-time analytics.

LLM 52

LLM Metadata Software Engineer Python 52

AWS Machine Learning Blog

OCTOBER 11, 2024

data # Assing local directory path to a python variable local_data_path = "./data/" data/" # Assign S3 bucket name to a python variable. Ginni Malik is a Senior Data & ML Engineer with AWS Professional Services. This was created in Step-2 above. Satish Sarapuri is a Sr.

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Metadata Generative AI LLM Data Ingestion 104