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 270

Prompt Engineer Prompt Engineering Large Language Models ChatGPT 270

Unite.AI

SEPTEMBER 19, 2024

Data Extraction & Analysis : Summarizing large reports or extracting key insights from datasets using GPT-4’s advanced reasoning abilities. Cohere Cohere specializes in natural language processing (NLP) and provides scalable solutions for enterprises, enabling secure and private data handling.

LLM 246

LLM Automation Large Language Models OpenAI 246

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 Engineer 115

Prompt Engineer Prompt Engineering 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

ODSC - Open Data Science

OCTOBER 27, 2023

We use Amazon Textract’s document extraction abilities with LangChain to get the text from the document and then use prompt engineering to identify the possible document category. LangChain uses Amazon Textract’s DetectDocumentText API for extracting text from printed, scanned, or handwritten documents.

IDP 98

IDP LLM Large Language Models Data Science 98

Mlearning.ai

OCTOBER 28, 2023

Prompt, In-context Learning and Chaining Step 1 You pick a model, give it a prompt, get a response, evaluate the response, and re-prompt if needed until you get the desired outcome. In-context learning is a prompt engineering approach where language models learn tasks from a few natural language examples and try to perform them.

Generative AI 52

Generative AI Prompt Engineer Prompt Engineering LLM 52

Snorkel AI

OCTOBER 17, 2023

What are the key advantages that it offers for financial NLP tasks? Gideon Mann: To your point about data-centric AI and the commoditization of LLMs, when I look at what’s come out of open-source and academia, and the people working on LLMs, there has been amazing progress in making these models easier to use and train.

Large Language Models 64

Large Language Models NLP Prompt Engineer Prompt Engineering 64