Unite.AI

JANUARY 27, 2025

End users should also seek companies that can help with this testing as often an ML Engineer can help with deployment vs. the Data Scientist that created the model. How is Cirrascale adapting its solutions to meet the growing demand for generative AI applications, like LLMs and image generation models?

Deep Learning 162

Deep Learning Data Quality ML Engineer Data Scientist 162

AWS Machine Learning Blog

MAY 15, 2024

To help advertisers more seamlessly address this challenge, Amazon Ads rolled out an image generation capability that quickly and easily develops lifestyle imagery, which helps advertisers bring their brand stories to life. Here, Amazon SageMaker Ground Truth allowed ML engineers to easily build the human-in-the-loop workflow (step v).

Generative AI 121

Generative AI AI AI Machine Learning 121

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 121

Generative AI Prompt Engineer Prompt Engineering ML 121

AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

Generative AI 120

Generative AI LLM AI AI 120

AWS Machine Learning Blog

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

Generative AI 114

Generative AI Data Ingestion AI AI 114

AWS Machine Learning Blog

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. He has two graduate degrees in physics and a doctorate in engineering.

Generative AI 124

Generative AI Prompt Engineering Prompt Engineer LLM 124

AWS Machine Learning Blog

NOVEMBER 29, 2023

Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI.

Generative AI 98

Generative AI Prompt Engineering Prompt Engineer ML Engineer 98

Unite.AI

FEBRUARY 15, 2024

The integration of generative AI into Customer Experience Management (CXM) is heralding a new era of digital transformation. Key Drivers and Deployment Areas One of the report's key insights is the identification of major drivers for generative AI adoption in CXM.

Generative AI 100

Generative AI ML Engineer Data Scientist Software Development 100

AWS Machine Learning Blog

AUGUST 22, 2024

Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently.

Generative AI 115

Generative AI Metadata Python ML 115

AWS Machine Learning Blog

FEBRUARY 21, 2025

Amazon Q Business addresses this need as a fully managed generative AI-powered assistant that helps you find information, generate content, and complete tasks using enterprise data. For this post, we have two active directory groups, ml-engineers and security-engineers. What is Amazon Q optimized for?

Generative AI 70

Generative AI ML Engineer IDP NLP 70

Chatbots Life

MAY 16, 2023

Top 5 Generative AI Integration Companies to Drive Customer Support in 2023 If you’ve been following the buzz around ChatGPT, OpenAI, and generative AI, it’s likely that you’re interested in finding the best Generative AI integration provider for your business.

Generative AI 92

Generative AI Chatbots Conversational AI Software Development 92

AWS Machine Learning Blog

FEBRUARY 11, 2025

Clean up To clean up the model and endpoint, use the following code: predictor.delete_model() predictor.delete_endpoint() Conclusion In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and run a wide range of pre-trained FMs for inference, including the Falcon 3 family of models.

ML 79

ML Machine Learning Python Computer Vision 79

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. Ketaki Shriram, Co-Founder and CTO of Krikey AI. About Krikey AI Krikey AI Animation tools empower anyone to animate a 3D character in minutes.

AI Development 103

AI Development AI Developer Generative AI AI 103

Unite.AI

JUNE 28, 2023

It became apparent to both Razi and me that we had the opportunity to make a significant impact by radically simplifying the feature engineering process and providing data scientists and ML engineers with the right tools and user experience for seamless feature experimentation and feature serving.

Data Scientist 264

Data Scientist Machine Learning Data Science ML Engineer 264

AWS Machine Learning Blog

JUNE 3, 2024

With a data flow, you can prepare data using generative AI, over 300 built-in transforms, or custom Spark commands. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice. Complete the following steps: Choose Prepare and analyze data.

Generative AI 108

Generative AI Categorization Auto-complete Auto-classification 108

IBM Journey to AI blog

AUGUST 11, 2023

How to use ML to automate the refining process into a cyclical ML process. Initiate updates and optimization—Here, ML engineers will begin “retraining” the ML model method by updating how the decision process comes to the final decision, aiming to get closer to the ideal outcome.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

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 88

Generative AI AI AI ML 88

Marktechpost

JUNE 19, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Learning generative AI is crucial for staying competitive and leveraging the technology’s potential to innovate and improve efficiency.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence Prompt Engineering Prompt Engineer 124

AWS Machine Learning Blog

JANUARY 28, 2025

By investing in robust evaluation practices, companies can maximize the benefits of LLMs while maintaining responsible AI implementation and minimizing potential drawbacks. To support robust generative AI application development, its essential to keep track of models, prompt templates, and datasets used throughout the process.

LLM 94

LLM Large Language Models ML Algorithm 94

BAIR

MARCH 11, 2024

Specifically, I work on methods that algorithmically generates diverse training environments (i.e., learning scenarios) for autonomous agents to improve generalization and sample efficiency. Currently, I am working on Large Language Model (LLM) based autonomous agents.

Robotics 340

Robotics Natural Language Processing Machine Learning Deep Learning 340

Marktechpost

MAY 30, 2024

Introduction to AI and Machine Learning on Google Cloud This course introduces Google Cloud’s AI and ML offerings for predictive and generative projects, covering technologies, products, and tools across the data-to-AI lifecycle. It also introduces Google’s 7 AI principles.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence BERT Computer Vision 131

AWS Machine Learning Blog

FEBRUARY 19, 2025

At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%. HyperPod CLI v2.0.0

Data Scientist 71

Data Scientist Data Science ML Engineer Generative AI 71

AWS Machine Learning Blog

APRIL 2, 2025

Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice. He specializes in helping customers accelerate business outcomes on AWS through the application of machine learning and generative AI. He helps customers implement big data and analytics solutions.

Large Language Models 95

Large Language Models LLM Machine Learning Big Data 95

AWS Machine Learning Blog

MARCH 1, 2023

However, these obstacles can now be mitigated by utilizing advanced generative AI methods such as natural language-based image semantic segmentation and diffusion for virtual styling. This blog post details the implementation of generative AI-assisted fashion online styling using text prompts.

Generative AI 93

Generative AI AI AI Auto-classification 93

TheSequence

MAY 21, 2023

. 📝 Editorial: The Undisputed Champion of Open Source Generative AI Stability AI is synonymous with open-source generative AI. The release of Stable Diffusion was a sort of Sputnik moment in the evolution of open-source generative AI models. TheSequence is a reader-supported publication.

Generative AI 64

Generative AI ML Engineer ETL LLM 64

AWS Machine Learning Blog

FEBRUARY 12, 2025

Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. Machine learning (ML) engineers must make trade-offs and prioritize the most important factors for their specific use case and business requirements.

Auto-classification 80

Auto-classification Metadata Generative AI Machine Learning 80

AWS Machine Learning Blog

APRIL 8, 2025

The following diagram illustrates iFoods updated architecture, which incorporates an internal ML platform built to streamline workflows between data science and engineering teams, enabling efficient deployment of machine learning models into production systems. The ML platform empowers the building and evolution of ML systems.

Machine Learning 86

Machine Learning ML Auto-complete Data Scientist 86

AWS Machine Learning Blog

DECEMBER 10, 2024

We also explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and deploy a wide range of pre-trained FMs for inference, including other Mistral AI models, such as Mistral 7B and Mixtral 8x22B. Specialist Solutions Architect working on generative AI.

ML 95

ML Generative AI Computer Vision ML Engineer 95

AWS Machine Learning Blog

JULY 8, 2024

TWCo data scientists and ML engineers took advantage of automation, detailed experiment tracking, integrated training, and deployment pipelines to help scale MLOps effectively. ML model experimentation is one of the sub-components of the MLOps architecture. Anila Joshi has more than a decade of experience building AI solutions.

Data Scientist 109

Data Scientist ML Engineer Machine Learning Data Science 109

AWS Machine Learning Blog

JUNE 19, 2024

In this post, we show you how to unlock new levels of efficiency and creativity by bringing the power of generative AI directly into your Slack workspace using Amazon Bedrock. To learn more about how to use generative AI with AWS services, see Generative AI on AWS.

ML Engineer 95

ML Engineer Generative AI Big Data ML 95

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business. An MLflow 2.16.2

ML 85

ML Data Scientist Machine Learning Software Engineer 85

Marktechpost

JULY 25, 2024

This short course also includes guidance on using Google tools to develop your own Generative AI apps. Prompt Engineering with LLaMA-2 Difficulty Level: Beginner This course covers the prompt engineering techniques that enhance the capabilities of large language models (LLMs) like LLaMA-2.

Large Language Models 113

Large Language Models Prompt Engineering Prompt Engineer Chatbots 113

Flipboard

NOVEMBER 28, 2023

In 2023, the pace of adoption of AI technologies has accelerated further with the development of powerful foundation models (FMs) and a resulting advancement in generative AI capabilities. To realize the full potential of generative AI, however, it’s important to carefully reflect on any potential risks.

Artificial Intelligence 173

Artificial Intelligence Artificial Intelligence Responsible AI Machine Learning 173

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

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Generative AI chatbots have gained notoriety for their ability to imitate human intellect.

Generative AI 83

Generative AI LLM Machine Learning Large Language Models 83

AWS Machine Learning Blog

FEBRUARY 21, 2025

Deployment times stretched for months and required a team of three system engineers and four ML engineers to keep everything running smoothly. With just one part-time ML engineer for support, our average issue backlog with the vendor is practically non-existent.

Data Science 68

Data Science Data Scientist Data Ingestion DevOps 68

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

Machine Learning 123

Machine Learning ML Engineer DevOps ML 123