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.

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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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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. LLMs change this.

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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.

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AWS Machine Learning Blog

MAY 30, 2024

Additionally, VitechIQ includes metadata from the vector database (for example, document URLs) in the model’s output, providing users with source attribution and enhancing trust in the generated answers. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system.

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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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AWS Machine Learning Blog

FEBRUARY 21, 2025

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 ). In the next section, we discuss using a compound AI system to implement this framework to achieve high versatility and reusability.

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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. Latency and cost are also critical factors that must be taken into account. LLMs, in contrast, offer a high degree of flexibility.

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Natural Language Processing LLM Prompt Engineering Prompt Engineer 127

Towards AI

SEPTEMBER 22, 2023

The researchers focused on the development of new concepts with all their fascinating academic magic; while clients were aware that ML consultants had expertise that they and their team lacked, the ML consultants took pride in delivering their unique contributions. One example is prompt engineering. Everyone was happy.

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Prompt Engineering Prompt Engineer ML ML Engineer 59

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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Towards AI

JUNE 18, 2024

About Building LLMs for Production Generative AI and LLMs are transforming industries with their ability to understand and generate human-like text and images. The principles of CNNs and early vision transformers are still important as a good background for ML engineers, even though they are much less popular nowadays.

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AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning.

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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. SageMaker is a HIPAA-eligible managed service that provides tools that enable data scientists, ML engineers, and business analysts to innovate with ML. LangChain provides an accessible interface to LLMs.

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LLM Large Language Models ML Data Scientist 108

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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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. Top Sessions With sessions both online and in-person in South San Francisco, there was something for everyone at ODSC East.

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Snorkel AI

MAY 4, 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. AI development stack: AutoML, ML frameworks, no-code/low-code development.

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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. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI. AI development stack: AutoML, ML frameworks, no-code/low-code development.

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Computer Vision Large Language Models Natural Language Processing AI 52

ODSC - Open Data Science

JANUARY 10, 2024

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

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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. AI/ML Specialist Solutions Architect at AWS, based in Virginia, US. SageMaker uses training jobs to launch this function as a managed job. Vikram Elango is a Sr.

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Machine Learning Data Scientist Python ML 91

ODSC - Open Data Science

JANUARY 3, 2025

Selected Training Sessions for Week 1LLMs (Wed 15 JanThu 16Jan) Cracking the Code: How to Choose the Right LLMs Model for Your Project Ivan Lee, CEO and Founder ofDatasaur Selecting the right AI model is a strategic process that requires careful evaluation and optimization to ensure project success.

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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.

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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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AWS Machine Learning Blog

DECEMBER 17, 2024

This presents an opportunity to augment and automate the existing content creation process using generative AI. In this post, we discuss how we used Amazon SageMaker and Amazon Bedrock to build a content generator that rewrites marketing content following specific brand and style guidelines.

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Marktechpost

NOVEMBER 14, 2024

Suddenly, engineers could interact with them simply by prompting, without any initial training. But as generative AI evolved, we saw that engineers needed more than just pre-trained models—they needed a way to customize them efficiently. Devvret: There are two big wars happening in generative AI infrastructure.

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