ODSC - Open Data Science

MARCH 10, 2025

Through practical implementation, youll learn how to structure and index large datasets, integrate LangChain-based embeddings, and build AI systems that seamlessly retrieve and reason across multiple modalities. Perfect for developers and data scientists looking to push the boundaries of AI-powered assistants.

Data Scientist 52

Data Scientist Data Science LLM Machine Learning 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.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 105

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.

Data Scientist 124

Data Scientist ML Data Science Automation 124

ODSC - Open Data Science

FEBRUARY 25, 2025

At ODSC East 2025 , were excited to present 12 curated tracks designed to equip data professionals, machine learning engineers, and AI practitioners with the tools they need to thrive in this dynamic landscape. This track dives into the design, development, and deployment of intelligent agents that leverage LLMs and machine learning.

Data Scientist 52

Data Scientist Large Language Models Machine Learning ML Engineer 52

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

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? Is this the future of the ML engineer? Let’s think about why prompt engineering has been developed.

Prompt Engineer 59

Prompt Engineer Prompt Engineering ML ML Engineer 59

Snorkel AI

MAY 4, 2023

The free virtual conference is the largest annual gathering of the data-centric AI community. The sessions at this year’s conference will focus on the following: Data development techniques: programmatic labeling, synthetic data, active learning, weak supervision, data cleaning, and augmentation.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

Snorkel AI

MAY 4, 2023

The free virtual conference is the largest annual gathering of the data-centric AI community. The sessions at this year’s conference will focus on the following: Data development techniques: programmatic labeling, synthetic data, active learning, weak supervision, data cleaning, and augmentation.

Computer Vision 52

Computer Vision Large Language Models Natural Language Processing AI 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

Generative AI 126

Generative AI Prompt Engineer Prompt Engineering ML 126

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

Generative AI 137

Generative AI LLM ML AI 137

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

ML 132

ML Generative AI AI AI 132

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.

ML 125

ML Python Data Scientist Deep Learning 125

AWS Machine Learning Blog

NOVEMBER 30, 2023

The risks associated with generative AI have been well-publicized. Research shows that not only do risks for bias and toxicity transfer from pre-trained foundation models (FM) to task-specific generative AI services, but that tuning an FM for specific tasks, on incremental datasets, introduces new and possibly greater risks.

Large Language Models 113

Large Language Models Algorithm LLM Responsible AI 113

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 130

Data Scientist DevOps AI AI 130

AWS Machine Learning Blog

JUNE 24, 2024

Their skilled workforce and streamlined workflows allowed us to rapidly label the massive datasets required to train our innovative text-to-animation AI models. They were a true force multiplier for our AI development.” – Dr. Ketaki Shriram, Co-Founder and CTO of Krikey AI.

AI Developer 118

AI Developer AI Development Generative AI AI 118

AWS Machine Learning Blog

SEPTEMBER 12, 2024

As generative AI moves from proofs of concept (POCs) to production, we’re seeing a massive shift in how businesses and consumers interact with data, information—and each other. While these layers provide different points of entry, the fundamental truth is that every generative AI journey starts at the foundational bottom layer.

Generative AI 97

Generative AI AI AI ML 97

AWS Machine Learning Blog

DECEMBER 4, 2024

Organizations of every size and across every industry are looking to use generative AI to fundamentally transform the business landscape with reimagined customer experiences, increased employee productivity, new levels of creativity, and optimized business processes.

ML 135

ML Generative AI Data Scientist ML Engineer 135