article thumbnail

How Travelers Insurance classified emails with Amazon Bedrock and prompt engineering

AWS Machine Learning Blog

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. In this case, given the accuracy was already high by just using prompt engineering, the accuracy after fine-tuning would have to justify the cost.

article thumbnail

Image and video prompt engineering for Amazon Nova Canvas and Amazon Nova Reel

AWS Machine Learning Blog

Although these models are powerful tools for creative expression, their effectiveness relies heavily on how well users can communicate their vision through prompts. This post dives deep into prompt engineering for both Nova Canvas and Nova Reel. Nitin Eusebius is a Sr.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Anthropic Introduces New Prompt Improver to Developer Console: Automatically Refine Prompts With Prompt Engineering Techniques and CoT Reasoning

Marktechpost

Simplify the prompt generation and evaluation process. As we all know, prompt quality plays a huge role in the success of AI responses. Yet, mastering prompt engineering can be time-consuming and varies across different AI models. Don’t Forget to join our 55k+ ML SubReddit. Generate a test suite.

article thumbnail

Unlocking AI’s Potential: A Comprehensive Survey of Prompt Engineering Techniques

Marktechpost

Prompt engineering has burgeoned into a pivotal technique for augmenting the capabilities of large language models (LLMs) and vision-language models (VLMs), utilizing task-specific instructions or prompts to amplify model efficacy without altering core model parameters.

article thumbnail

Anthropic AI Launches a Prompt Engineering Tool that Generates Production-Ready Prompts in the Anthropic Console

Marktechpost

Still, it was only in 2014 that generative adversarial networks (GANs) were introduced, a type of Machine Learning (ML) algorithm that allowed generative AI to finally create authentic images, videos, and audio of real people. The main reason for that is the need for prompt engineering skills.

article thumbnail

Top Generative Artificial Intelligence AI Courses in 2024

Marktechpost

It covers how generative AI works, its applications, and its limitations, with hands-on exercises for practical use and effective prompt engineering. Introduction to Generative AI This beginner-friendly course provides a solid foundation in generative AI, covering concepts, effective prompting, and major models.

article thumbnail

Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning Blog

This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Few-shot learning with Anthropic Claude 3 Sonnet on Amazon Bedrock The prompt engineering for few-shot learning using Anthropic Claude 3 Sonnet is divided into four sections, as shown in the following figure.