IBM Journey to AI blog

JULY 17, 2023

offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. These Slate models are fine-tuned via Jupyter notebooks and APIs. To bridge the tuning gap, watsonx.ai

Machine Learning 186

Machine Learning Metadata Automation AI 186

ODSC - Open Data Science

JANUARY 11, 2024

Zero-ETL, ChatGPT, and the Future of Data Engineering This article will closely examine some of the most prominent near-future ideas that may become part of the post-modern data stack as well as their potential impact on data engineering. Sign up for our new newsletter here!

Data Science 52

Data Science Prompt Engineer Prompt Engineering ETL 52

AWS Machine Learning Blog

APRIL 16, 2024

You can use these connections for both source and target data, and even reuse the same connection across multiple crawlers or extract, transform, and load (ETL) jobs. The way you craft a prompt can profoundly influence the nature and usefulness of the AI’s response.

Data Scientist 117

Data Scientist Generative AI Machine Learning Auto-complete 117

The MLOps Blog

AUGUST 3, 2023

At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. We have someone from Adobe using it to help manage some prompt engineering work that they’re doing, for example.

ML 52

ML Data Scientist Software Engineer Machine Learning 52

Flipboard

NOVEMBER 24, 2023

Through various experimentation between AWS and SnapLogic, we have found the prompt engineering step of the solution diagram to be extremely important to generating high-quality outputs for these text-to-pipeline outputs. The example in the following prompt shows a fictitious schema that matches the expected output.

ETL 157

ETL Prompt Engineering Prompt Engineer Generative AI 157

IBM Journey to AI blog

OCTOBER 30, 2024

The platform incorporates the innovative Prompt Lab tool, specifically engineered to streamline prompt engineering processes. Notably, the prompt text, model references, and prompt engineering parameters are meticulously formatted as Python code within notebooks, allowing for seamless programmable interaction.

Prompt Engineering 238

Prompt Engineering Prompt Engineer ETL Machine Learning 238

AWS Machine Learning Blog

NOVEMBER 12, 2024

Their data pipeline (as shown in the following architecture diagram) consists of ingestion, storage, ETL (extract, transform, and load), and a data governance layer. The data used in the prompt engineering (trial result and rules) is stored in plain text and sent to the model as is.

Generative AI 112

Generative AI Prompt Engineering Prompt Engineer AI 112

Bugra Akyildiz

FEBRUARY 16, 2025

Demonstrations use off-the-shelf models like GPT-4, validated through prompt engineering. Paper : [link] Model : [link] Data : [link] s1-prob: [link] s1-teasers: [link] Full 59K: [link] Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

LLM 52

LLM Python ETL Prompt Engineering 52

AWS Machine Learning Blog

JANUARY 7, 2025

His work is focused on the implementation of efficient ETL data analytics pipelines, and solving business problems via automation, experimenting and innovating using AWS services with a code-first approach using AWS CDK. Martin Gregory is a Senior Market Data Technician at Parameta Solutions with over 25 years of experience.

Generative AI 104

Generative AI Automation Data Extraction ETL 104