Towards AI

FEBRUARY 18, 2025

That said, Ive noticed a growing disconnect between cutting-edge AI development and the realities of AI application developers. It has already inspired me to set new goals for 2025, and I hope it can do the same for other ML engineers. AI Revolution is Losing Steam? Take, for example, the U.S.

ML Engineer 100

ML Engineer LLM Data Quality Algorithm 100

ODSC - Open Data Science

MARCH 10, 2025

Through practical coding exercises, youll gain the skills to implement Bayesian regression in PyMC, understand when and why to use these methods over traditional GLMs, and develop intuition for model interpretation and uncertainty estimation.

Data Scientist 52

Data Scientist Data Science LLM Machine Learning 52

ODSC - Open Data Science

APRIL 1, 2025

Building Multimodal AI Agents: Agentic RAG with Image, Text, and Audio Inputs Suman Debnath, Principal AI/ML Advocate at Amazon Web Services Discover the transformative potential of Multimodal Agentic RAG systems that integrate image, audio, and text to power intelligent, real-world applications.

Neural Network 52

Neural Network LLM Software Engineer AI 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.

AI Engineer 111

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 111

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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AWS Machine Learning Blog

APRIL 7, 2025

For this post, I use LangChains popular open source LangGraph agent framework to build an agent and show how to enable detailed tracing and evaluation of LangGraph generative AI agents. 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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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

Pickl AI

JANUARY 29, 2024

As we navigate this landscape, the interconnected world of Data Science, Machine Learning, and AI defines the era of 2024, emphasising the importance of these fields in shaping the future. ’ As we navigate the expansive tech landscape of 2024, understanding the nuances between Data Science vs Machine Learning vs ai.

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AWS Machine Learning Blog

OCTOBER 1, 2024

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. These services play a pivotal role in addressing diverse customer needs across the generative AI journey.

Data Science 90

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

ML operationalization summary As defined in the post MLOps foundation roadmap for enterprises with Amazon SageMaker , ML and operations (MLOps) is the combination of people, processes, and technology to productionize machine learning (ML) solutions efficiently.

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Generative AI Prompt Engineer Prompt Engineering ML 120

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. Over the past year, we’ve seen manufacturers explore a host of techniques and tools aimed at making AI data development practical and possible under the umbrella of “data-centric AI.”

AI Development 52

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. Over the past year, we’ve seen manufacturers explore a host of techniques and tools aimed at making AI data development practical and possible under the umbrella of “data-centric AI.”

AI Development 52

AI Development AI Developer Machine Learning Data Scientist 52

AWS Machine Learning Blog

APRIL 29, 2024

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. Owning the infrastructural control and knowhow to run workflows that power AI systems is a requirement.

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ML Python Data Scientist Machine Learning 116

Towards AI

AUGUST 25, 2023

How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. In a nutshell, AI Engineering is the application of software engineering best practices to the field of AI. 13, 2021.

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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. Don’t Forget to join our 55k+ ML SubReddit.

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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.

Large Language Models 52

Large Language Models AI AI Automation 52

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.

Machine Learning 52

Machine Learning ML Engineer ML Automation 52

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 approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines.

Machine Learning 62

Machine Learning Large Language Models Python Automation 62

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

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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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? There were significant distinctions between academic researchers, ML practitioners, and their clients.

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Prompt Engineering Prompt Engineer ML ML Engineer 59

AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. These include a fully managed AI development environment with an integrated development environment (IDE), simplifying the end-to-end ML workflow.

Data Scientist 116

Data Scientist DevOps AI AI 116

Chatbots Life

MAY 16, 2023

as a certified partner for delivering end-to-end Conversational AI professional services leveraging LivePerson’s Conversational Cloud. Master of Code proposes to create a Proof of Concept (POC) within 2 weeks after the request to explore the advantages of using a Generative AI chatbot in your company.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

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. About the authors Ram Vegiraju is a ML Architect with the SageMaker Service team. He focuses on helping customers build and optimize their AI/ML solutions on Amazon SageMaker.

Large Language Models 103

Large Language Models Algorithm LLM Responsible AI 103

ODSC - Open Data Science

FEBRUARY 21, 2025

This session will equip business leaders with actionable insights for driving AI transformation in their organizations. 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.

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.

Computer Vision 52

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.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. Where is LLMOps in DevOps and MLOps In MLOps, engineers are dedicated to enhancing the efficiency and impact of ML model deployment. The focus shifts towards prompt engineering and fine-tuning.

Large Language Models 52

Large Language Models DevOps Machine Learning Prompt Engineer 52

Bugra Akyildiz

MAY 14, 2023

Google built a no-code end to end ML based framework called Visual blocks and published a post on this. They describe a visual programming platform for rapid and iterative development of end-to-end ML-based multimedia applications. They have released the Visual Blocks for ML framework, along with a demo and Colab examples.

Auto-classification 52

Auto-classification LLM ML Python 52

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?

Deep Learning 52

Deep Learning AI AI Machine Learning 52

Viso.ai

FEBRUARY 12, 2024

Error Detection and Debugging: A major challenge ML engineers face is debugging complex models with millions of parameters. Explainable AI helps identify the particular segments of an issue and errors in the system’s logic or training data. Explainable AI is the pillar for responsible AI development and monitoring.

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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.

Data Mining 52

Data Mining Data Science Machine Learning Deep Learning 52

AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Generative AI ML LLM AI 135

TheSequence

NOVEMBER 5, 2023

Frank Liu, head of AI & ML at Zilliz, the company behind widely adopted open source vector database Milvus, shares his red hot takes on the latest topics in AI, ML, LLMs and more! 🛠 Real World ML LLM Architectures at GitHub GitHub ML engineers discuss the architecture of LLMs apps —> Read more.

ML 52

ML Chatbots ML Engineer Big Data 52

AWS Machine Learning Blog

JUNE 24, 2024

Amazon SageMaker Ground Truth is an AWS managed service that makes it straightforward and cost-effective to get high-quality labeled data for machine learning (ML) models by combining ML and expert human annotation. Krikey AI used SageMaker Ground Truth to expedite the development and implementation of their text-to-animation model.

AI Development 102

AI Development AI Developer Generative AI AI 102

Unite.AI

FEBRUARY 22, 2024

By illuminating the intricacies of AI decision-making, explainability empowers users to understand and validate choices, enabling developers to identify and rectify biases for enhanced model performance and fairness.”

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Responsible AI Explainability AI AI 274

AWS Machine Learning Blog

SEPTEMBER 12, 2024

In fact, 96 percent of all AI/ML unicorns—and 90 percent of the 2024 Forbes AI 50—are AWS customers. Because we’re addressing the cost, performance, and security issues that enable production-grade generative AI applications.

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