Unite.AI

FEBRUARY 23, 2024

In the ever-evolving landscape of artificial intelligence, the art of prompt engineering has emerged as a pivotal skill set for professionals and enthusiasts alike. Prompt engineering, essentially, is the craft of designing inputs that guide these AI systems to produce the most accurate, relevant, and creative outputs.

Prompt Engineer 272

Prompt Engineer Prompt Engineering Large Language Models ChatGPT 272

AWS Machine Learning Blog

MARCH 20, 2025

In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible.

Automation 106

Automation IDP Generative AI Prompt Engineer 106

Unite.AI

SEPTEMBER 19, 2024

These APIs allow companies to integrate natural language understanding, generation, and other AI-driven features into their applications, improving efficiency, enhancing customer experiences, and unlocking new possibilities in automation. Flash $0.00001875 / 1K characters $0.000075 / 1K characters $0.0000375 / 1K characters Gemini 1.5

LLM 246

LLM Automation Large Language Models OpenAI 246

AWS Machine Learning Blog

JANUARY 13, 2025

This integration allows organizations to not only extract data from documents, but to also interpret, summarize, and generate insights from the extracted information, enabling more intelligent and automated document processing workflows.

IDP 96

IDP Generative AI Prompt Engineer Prompt Engineering 96

AWS Machine Learning Blog

MAY 7, 2024

This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain. We also examine the uplift from fine-tuning an LLM for a specific extractive task. In this example, you explicitly set the instance type to ml.g5.48xlarge.

Prompt Engineering 115

Prompt Engineering Prompt Engineer Large Language Models LLM 115

Marktechpost

SEPTEMBER 14, 2024

One of the key features of the o1 models is their ability to work efficiently across different domains, including natural language processing (NLP), data extraction, summarization, and even code generation.

Natural Language Processing 114

Natural Language Processing Prompt Engineer Prompt Engineering Python 114

Flipboard

NOVEMBER 27, 2024

In this step we use a LLM for classification and data extraction from the documents. Sonnet LLM: document processing for data extraction and summarization of the extracted information. Sonnet alongside prompt engineering techniques to refine outputs and meet specific requirements with precision.

LLM 65

LLM Data Extraction Explainability Prompt Engineer 65