AWS Machine Learning Blog

JANUARY 28, 2025

FMEval is an open source LLM evaluation library, designed to provide data scientists and machine learning (ML) engineers with a code-first experience to evaluate LLMs for various aspects, including accuracy, toxicity, fairness, robustness, and efficiency.

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LLM Large Language Models ML Algorithm 93

Snorkel AI

MAY 1, 2024

phData Senior ML Engineer Ryan Gooch recently evaluated options to accelerate ML model deployment with Snorkel Flow and AWS SageMaker. SageMaker JumpStart offers a seamless pathway to both developing these datasets, with pre-trained models acting as labelers, and rapidly deploying scalable solutions.

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AI Development AI Developer Machine Learning Data Scientist 52

Snorkel AI

MAY 1, 2024

phData Senior ML Engineer Ryan Gooch recently evaluated options to accelerate ML model deployment with Snorkel Flow and AWS SageMaker. SageMaker JumpStart offers a seamless pathway to both developing these datasets, with pre-trained models acting as labelers, and rapidly deploying scalable solutions.

AI Development 52

AI Development AI Developer Machine Learning Data Scientist 52

Towards AI

FEBRUARY 15, 2024

Author(s): Jennifer Wales Originally published on Towards AI. 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.

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AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 111

ODSC - Open Data Science

APRIL 1, 2025

Adaptive RAG Systems with Knowledge Graphs: Building Smarter LLM Pipelines David vonThenen, Senior AI/ML Engineer at DigitalOcean Unlock the full potential of Retrieval-Augmented Generation by embedding adaptive reasoning with knowledge graphs. This session emphasizes practical frameworks and deployment strategies.

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Neural Network LLM Software Engineer AI 52

Marktechpost

DECEMBER 1, 2024

This combination of technical depth and usability lowers the barrier for data scientists and ML engineers to generate synthetic data efficiently. Benefits and Use Cases The significance of Promptwright lies in the benefits it brings to AI and machine learning workflows. Check out the GitHub Repo.

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Python LLM Data Scarcity Data Scientist 88

ODSC - Open Data Science

FEBRUARY 13, 2025

Schumer provided insights on optimizing AI workflows, selecting appropriate LLMs based on task complexity, and the trade-offs between small and large language models. The session emphasized the accessibility of AI development and the increasing efficiency of AI-assisted software engineering.

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Large Language Models AI AI Automation 52

Towards AI

JANUARY 6, 2025

Professional Development Certificate in Applied AI by McGill UNIVERSITY The Professional Development Certificate in Applied AI from McGill is an appropriate advanced and practical program designed to equip professionals with actionable industry-relevant knowledge and skills required to be senior AI developers and the ranks.

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Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

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.

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Data Scientist Machine Learning Large Language Models ML Engineer 52

AWS Machine Learning Blog

OCTOBER 1, 2024

We believe continued innovations for both services and our positioning as a Leader in the 2024 Gartner Data Science and Machine Learning (DSML) Magic Quadrant reflects our commitment to meeting evolving customer needs, particularly in data science and ML.

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Data Science Machine Learning Data Scientist Generative AI 90

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. The next step is to start developing the generative AI application.

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Generative AI Prompt Engineering Prompt Engineer ML 120

AWS Machine Learning Blog

NOVEMBER 16, 2023

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

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Data Scientist ML Data Science Machine Learning 105

Towards AI

AUGUST 25, 2023

Any competent software engineer can implement any algorithm. Even if you are an experienced AI/ML engineer, you should know the performance of simpler models on your dataset/problem. Kilic, “ Data Science Terminology — AI / ML / DL,” Medium, Dec. Gulmez, “ How to Become an AI Developer,” Medium, Jan.

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Machine Learning Software Engineer Neural Network Data Science 98

Pickl AI

AUGUST 28, 2024

Introduction In the rapidly evolving landscape of Machine Learning , Google Cloud’s Vertex AI stands out as a unified platform designed to streamline the entire Machine Learning (ML) workflow. This unified approach enables seamless collaboration among data scientists, data engineers, and ML engineers.

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Machine Learning ML Engineer ML Automation 52

AWS Machine Learning Blog

MARCH 14, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning Blog

APRIL 29, 2024

Metaflow overview Metaflow was originally developed at Netflix to enable data scientists and ML engineers to build ML/AI systems quickly and deploy them on production-grade infrastructure. How Metaflow integrates with Trainium From a Metaflow developer perspective, using Trainium is similar to other accelerators.

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ML Python Data Scientist Machine Learning 116

AWS Machine Learning Blog

APRIL 7, 2025

Continuity for ML Teams : Organizations already using MLflow for classic ML can adopt agents without overhauling their MLOps stack, reducing friction for generative AI adoption. This evolution positions SageMaker AI with MLflow as a unified platform for both traditional ML and cutting-edge generative AI agent development.

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Generative AI AI AI LLM 57

Towards AI

SEPTEMBER 22, 2023

As an AI practitioner, how do you feel about the recent AI developments? Besides your excitement for its new power, have you wondered how you can hold your position in the rapidly moving AI stream? Many techniques have been developed, like in-context learning, chain of thoughts, tree of thoughts, etc.

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Prompt Engineer Prompt Engineering ML ML Engineer 59

AWS Machine Learning Blog

APRIL 7, 2025

SageMaker Studio is a comprehensive integrated development environment (IDE) that offers a unified, web-based interface for performing all aspects of the AI development lifecycle. This provides multiple options to discover and use hundreds of models for your specific use case. On the endpoint details page, choose Delete.

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Machine Learning Large Language Models Python Automation 62

Chatbots Life

MAY 16, 2023

as a certified partner for delivering end-to-end Conversational AI professional services leveraging LivePerson’s Conversational Cloud. Services : AI Solution Development, ML Engineering, Data Science Consulting, NLP, AI Model Development, AI Strategic Consulting, Computer Vision.

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Generative AI Chatbots Conversational AI Software Development 92

Dlabs.ai

OCTOBER 21, 2024

Delves into AI applications across various sectors (healthcare, finance, education, etc.) Discusses ethical considerations and potential societal impacts of AI Features thought leadership from prominent AI figures Explores futuristic concepts and long-term AI developments 3. Why is it worth subscribing?

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Deep Learning AI AI Machine Learning 52

ODSC - Open Data Science

FEBRUARY 21, 2025

Learn how to scale test cases from 50 to 1,000+, optimize query performance, and implement specialized search indicescritical insights for anyone building high-performing AI retrieval systems. This workshop provides hands-on experience in building adaptive AI applications that evolve with real-time feedback.

Data Scientist 52

Data Scientist Software Engineer LLM Neural Network 52

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. The free virtual conference is the largest annual gathering of the data-centric AI community. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

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Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

MAY 4, 2023

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023. The free virtual conference is the largest annual gathering of the data-centric AI community. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

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Computer Vision Large Language Models Natural Language Processing AI 52

AWS Machine Learning Blog

FEBRUARY 29, 2024

These include developing a scalable and operationally efficient platform that adheres to organizational compliance and security standards. Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists.

Data Scientist 116

Data Scientist DevOps AI AI 116

Pickl AI

JANUARY 29, 2024

AI Engineer, Machine Learning Engineer, and Robotics Engineer are prominent roles in AI. ML Engineer, Data Scientist, and Research Scientist are typical roles in Machine Learning. How does AI differ from Machine Learning? Are programming skills necessary for a career in Machine Learning?

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AWS Machine Learning Blog

MAY 9, 2024

These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices.

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ML Generative AI AI AI 123

AWS Machine Learning Blog

NOVEMBER 30, 2023

It also integrates with Machine Learning and Operation (MLOps) workflows in Amazon SageMaker to automate and scale the ML lifecycle. FMEval provides the ability to perform evaluations for both LLM model endpoints or the endpoint for a generative AI service as a whole. What is FMEval?

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Large Language Models Algorithm LLM Responsible AI 103

Heartbeat

OCTOBER 5, 2023

To minimize project lifecycle friction and bridge the gap between developers and operations teams. Simplicity: By simplifying AI development, LLMOps reduces complexity and makes AI more accessible and user-friendly. This streamlined approach reduces time-to-value and maximizes the impact of collaborative efforts.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineering 52

Bugra Akyildiz

MAY 14, 2023

Videos A really good video for advantages and disadvantages of recent AI developments from Yen Choi; she talks about why recent developments in ChatGPT and more broadly in LLMs make them so powerful, yet they can fail very basic(she calls common sense mistakes):

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Auto-classification LLM ML Python 52

Viso.ai

FEBRUARY 12, 2024

By understanding what goes under the hood with Explainable AI, data teams are better equipped to improve and maintain model performance, and reliability. Error Detection and Debugging: A major challenge ML engineers face is debugging complex models with millions of parameters.

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Explainable AI Explainability Deep Learning Neural Network 52

Pickl AI

MAY 30, 2023

Moreover, you can easily opt for 6 month certification program that pays well in the field that will allow you to gain perfection in ML. Learn the techniques in Machine Learning Use different tools for applications of ML and NLP Salary of the ML Engineer in India ranges between 3 Lakhs to 20.8 Lakhs annually.

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Data Mining Data Science Machine Learning Deep Learning 52

AWS Machine Learning Blog

JANUARY 26, 2024

Being aware of risks fosters transparency and trust in generative AI applications, encourages increased observability, helps to meet compliance requirements, and facilitates informed decision-making by leaders.

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Generative AI ML LLM AI 135

TheSequence

NOVEMBER 5, 2023

Stability AI Releases Stability AI unveiled a series of new additions to its platform in areas such as image transformation, 3D and fine-tuning —> Read more. 🛠 Real World ML LLM Architectures at GitHub GitHub ML engineers discuss the architecture of LLMs apps —> Read more.

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ML Chatbots ML Engineer Big Data 52

AWS Machine Learning Blog

JUNE 24, 2024

They were a true force multiplier for our AI development.” – Dr. Ketaki Shriram, Co-Founder and CTO of Krikey AI. Conclusion The time and cost savings, along with access to premium labeled data, highlights the immense value SageMaker Ground Truth offers startups working with generative AI.

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AI Development AI Developer Generative AI AI 102

Unite.AI

FEBRUARY 22, 2024

These strategies not only provide a framework for transparency and accountability, but also serve as the foundation for cultivating ethical practices throughout the entire spectrum of AI development and deployment.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Because we’re addressing the cost, performance, and security issues that enable production-grade generative AI applications. We’re empowering data scientists, ML engineers, and other builders with new capabilities that make generative AI development faster, easier, more secure, and less costly.

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