AWS Machine Learning Blog

FEBRUARY 21, 2025

This framework is designed as a compound AI system to drive the fine-tuning workflow for performance improvement, versatility, and reusability. Likewise, to address the challenges of lack of human feedback data, we use LLMs to generate AI grades and feedback that scale up the dataset for reinforcement learning from AI feedback ( RLAIF ).

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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.

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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.

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AWS Machine Learning Blog

MAY 30, 2024

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so one can choose from a wide range of FMs to find the model that is best suited for their use case. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system.

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Chatbots Prompt Engineer Prompt Engineering Large Language Models 132

Towards AI

JANUARY 6, 2025

Author(s): Jennifer Wales Originally published on Towards AI. TOP 20 AI CERTIFICATIONS TO ENROLL IN 2025 Ramp up your AI career with the most trusted AI certification programs and the latest artificial intelligence skills. Read on to explore the best 20 courses worldwide.

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AWS Machine Learning Blog

MARCH 13, 2024

By orchestrating toxicity classification with large language models (LLMs) using generative AI, we offer a solution that balances simplicity, latency, cost, and flexibility to satisfy various requirements. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies.

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Natural Language Processing LLM Prompt Engineer Prompt Engineering 137

Towards AI

SEPTEMBER 22, 2023

Last Updated on September 23, 2023 by Editorial Team Author(s): Kelvin Lu Originally published on Towards AI. As an AI practitioner, how do you feel about the recent AI developments? As an AI practitioner, how do you feel about the recent AI developments? This is not true, but how does it sound?

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Prompt Engineering Prompt Engineer ML ML Engineer 59

TheSequence

JANUARY 19, 2024

Generative AI and Large Language Models (LLMs) are new to most companies. If you are an engineering leader building Gen AI applications, it can be hard to know what skills and types of people are needed. At the same time, the capabilities of AI models have grown.

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Prompt Engineering Prompt Engineer Generative AI Large Language Models 59

Towards AI

JUNE 18, 2024

Last Updated on June 22, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Towards AI Editorial Team · Follow Published in Towards AI ·5 min read·3 days ago 5 Listen Share You asked. Think of this version as your “carry it wherever you go” AI toolkit. We listened.

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Large Language Models Prompt Engineer Prompt Engineering LLM 79

Chatbots Life

MAY 12, 2023

How ChatGPT really works and will it change the field of IT and AI? — a We will discuss how models such as ChatGPT will affect the work of software engineers and ML engineers. Will ChatGPT replace software engineers? Will ChatGPT replace ML Engineers? and we will also explain how GPT can create jobs.

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ChatGPT Software Engineer NLP ML Engineer 90

Towards AI

FEBRUARY 20, 2025

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! You will also find useful tools from the community, collaboration opportunities for diverse skill sets, and, in my industry-special Whats AI section, I will dive into the most sought-after role: LLM developers.

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AWS Machine Learning Blog

JULY 24, 2024

You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning. Fine-tuning an LLM can be a complex workflow for data scientists and machine learning (ML) engineers to operationalize. Each iteration can be considered a run within an experiment.

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AWS Machine Learning Blog

MARCH 1, 2023

Generative artificial intelligence (AI) refers to AI algorithms designed to generate new content, such as images, text, audio, or video, based on a set of learned patterns and data. AI-driven design tools can create unique apparel designs based on input parameters or styles specified by potential customers through text prompts.

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AWS Machine Learning Blog

OCTOBER 4, 2023

Healthcare and life sciences (HCLS) customers are adopting generative AI as a tool to get more from their data. Solution overview Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.

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LLM Large Language Models ML Data Scientist 121

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. Rich Baich, CIA’s Chief Information Security Officer (CISO) discussed what data-centric AI means in the cyber context.

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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. Rich Baich, CIA’s Chief Information Security Officer (CISO) discussed what data-centric AI means in the cyber context.

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Computer Vision Large Language Models Natural Language Processing AI 52

TheSequence

NOVEMBER 12, 2023

📝 Editorial: OpenAI is Starting to Look Like Apple in 2008 The OpenAI Developer Day conference dominated the generative AI news this week. Given its dominant position in the generative AI market, we can trace parallels with another tech giant, Apple, after the iOS and app store launch in 2007 and 2008, respectively.

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OpenAI Generative AI ML Prompt Engineer 64

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. You can check out the top session recordings here if you have a subscription to the Ai+ Training platform.

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Data Science AI Engineer Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

APRIL 25, 2023

This allows ML engineers and admins to configure these environment variables so data scientists can focus on ML model building and iterate faster. About the Authors Dipankar Patro is a Software Development Engineer at AWS SageMaker, innovating and building MLOps solutions to help customers adopt AI/ML solutions at scale.

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Machine Learning Data Scientist Python ML 101

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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Heartbeat

OCTOBER 5, 2023

." This revolutionary approach is reshaping how we develop, deploy, and maintain LLMs in production, transforming how we build and maintain AI-powered systems and products, solidifying its place as a pivotal force in AI. LLMOps: LLMs excel at learning from raw data, making feature engineering less relevant.

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ODSC - Open Data Science

JANUARY 3, 2025

The AI Builders Summit is a four-week journey into the cutting-edge advancements in AI, designed to equip participants with practical skills and insights across four pivotal areas: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents , and the art of building comprehensive AIsystems.

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AI AI LLM Prompt Engineer 40

The MLOps Blog

JUNE 27, 2023

Google Cloud Vertex AI Google Cloud Vertex AI provides a unified environment for both automated model development with AutoML and custom model training using popular frameworks. With the help of Neptune, AI teams at Waabi were able to optimize their experiment tracking workflow.

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ODSC - Open Data Science

JANUARY 10, 2024

Causal AI: from Data to Action Dr. Andre Franca | CTO | connectedFlow Explore the world of Causal AI for data science practitioners, with a focus on understanding cause-and-effect relationships within data to drive optimal decisions. Learn more about our first-announced sessions coming to the event this April 23rd-25th below.

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Large Language Models Deep Learning LLM Data Science 52

Heartbeat

JULY 17, 2023

Comet allows ML engineers to track these metrics in real-time and visualize their performance using interactive dashboards. What comes out is amazing AI-generated art! Evaluation Metrics Choosing the right evaluation metrics for a classification task is critical to accurately benchmark the performance of computer vision models.

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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).

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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.

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AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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AWS Machine Learning Blog

DECEMBER 17, 2024

This presents an opportunity to augment and automate the existing content creation process using generative AI. Through fine-tuning, we generate content that mimics the TUI brand voice using static data and which could not be captured through prompt engineering. The second phase used a different LLM model for post-processing.

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LLM Prompt Engineer Prompt Engineering Generative AI 101

AWS Machine Learning Blog

NOVEMBER 29, 2023

An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. Based on this tenet, we can classify generative AI users who need LLM evaluation capabilities into 3 groups as shown in the following figure: model providers, fine-tuners, and consumers.

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LLM Data Scientist Algorithm Generative AI 119

Marktechpost

NOVEMBER 14, 2024

Prior he was an ML product leader at Google working across products like Firebase, Google Research and the Google Assistant as well as Vertex AI. Dev’s academic background is in computer science and statistics, and he holds a masters in computer science from Harvard University focused on ML. This reinforced our original vision.

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