ODSC - Open Data Science

NOVEMBER 20, 2024

The Role of Creativity and Critical Thinking in Generative AI Generative AI, a powerful tool for automating and augmenting tasks, still requires a nuanced, human touch to deliver effective results. This approach, he noted, applies equally to leveraging AI in areas like data management, marketing, and customer service.

Generative AI 71

Generative AI Prompt Engineering Prompt Engineer Data Quality 71

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Snorkel AI

MARCH 4, 2025

LLM alignment techniques come in three major varieties: Prompt engineering that explicitly tells the model how to behave. Supervised fine-tuning with targeted and curated prompts and responses. Data quality dependency: Success depends heavily on having high-quality preference data. Sign up here!

LLM 59

LLM Large Language Models Data Quality Prompt Engineer 59

AWS Machine Learning Blog

SEPTEMBER 14, 2023

The complexity of developing a bespoke classification machine learning model varies depending on a variety of aspects such as data quality, algorithm, scalability, and domain knowledge, to mention a few. We have made this process simple by automating the whole training pipeline. This can increase user engagement.

Categorization 115

Categorization Machine Learning Data Scientist Natural Language Processing 115

O'Reilly Media

NOVEMBER 28, 2023

Automating the process of building complex prompts has become common, with patterns like retrieval-augmented generation (RAG) and tools like LangChain. And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more.

Generative AI 137

Generative AI AI AI Data Analysis 137

Bugra Akyildiz

AUGUST 3, 2024

Data Quality and Processing: Meta significantly enhanced their data pipeline for Llama 3.1: Data Quality and Processing: Meta significantly enhanced their data pipeline for Llama 3.1: Data Quality and Processing: Meta significantly enhanced their data pipeline for Llama 3.1:

Neural Network 52

Neural Network Prompt Engineer Prompt Engineering Large Language Models 52

Topbots

SEPTEMBER 11, 2023

For example, if you are working on a virtual assistant, your UX designers will have to understand prompt engineering to create a natural user flow. All of this might require new skills on your team such as prompt engineering and conversational design. How does your solution impact the society and the environment?

UX Design 59

UX Design AI AI Automation 59

Heartbeat

JANUARY 9, 2024

You can adapt foundation models to downstream tasks in the following ways: Prompt Engineering: Prompt engineering is a powerful technique that enables LLMs to be more controllable and interpretable in their outputs, making them more suitable for real-world applications with specific requirements and constraints.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

Snorkel AI

JUNE 9, 2023

Full session recap The Opportunity of Data-Centric AI in Insurance Alejandro Zarate Santovena, lecturer at Columbia University and Managing Director at Marsh , asserted that AI and foundation models have a lot of potential to disrupt the insurance industry.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Full session recap The Opportunity of Data-Centric AI in Insurance Alejandro Zarate Santovena, lecturer at Columbia University and Managing Director at Marsh , asserted that AI and foundation models have a lot of potential to disrupt the insurance industry.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

AWS Machine Learning Blog

JANUARY 26, 2024

As part of quality assurance tests, introduce synthetic security threats (such as attempting to poison training data, or attempting to extract sensitive data through malicious prompt engineering) to test out your defenses and security posture on a regular basis.

Generative AI 137

Generative AI ML LLM AI 137

Unite.AI

JANUARY 22, 2025

It emerged to address challenges unique to ML, such as ensuring data quality and avoiding bias, and has become a standard approach for managing ML models across business functions. LLMs require massive computing power, advanced infrastructure, and techniques like prompt engineering to operate efficiently.

Prompt Engineer 203

Prompt Engineer Prompt Engineering Large Language Models LLM 203

ODSC - Open Data Science

MARCH 24, 2025

While it is automating certain repetitive tasks, it is not replacing the fundamental need for human judgment, business acumen, and analytical thinking. Gary identified three major roadblocks: Data Quality and Integration AI models require high-quality, structured, and connected data to function effectively.

Automation 52

Automation Data Analysis Prompt Engineer Prompt Engineering 52

Unite.AI

MARCH 13, 2024

Regardless of the approach, the training process for DSLMs involves exposing the model to large volumes of domain-specific textual data, such as academic papers, legal documents, financial reports, or medical records. While these efforts have made significant strides, the development and deployment of healthcare LLMs face several challenges.

Natural Language Processing 204

Natural Language Processing Large Language Models Data Scarcity LLM 204

AWS Machine Learning Blog

SEPTEMBER 9, 2024

Generative artificial intelligence (AI) has revolutionized this by allowing users to interact with data through natural language queries, providing instant insights and visualizations without needing technical expertise. This can democratize data access and speed up analysis. powered by Amazon Bedrock Domo.AI

Software Architect 111

Software Architect Generative AI AI AI 111

ODSC - Open Data Science

SEPTEMBER 20, 2023

ODSC West Confirmed Sessions Pre-Bootcamp Warmup and Self-Paced Sessions Data Literacy Primer* Data Wrangling with SQL* Programming with Python* Data Wrangling with Python* Introduction to AI* Introduction to NLP Introduction to R Programming Introduction to Generative AI Large Language Models (LLMs) Prompt Engineering Introduction to Fine-Tuning LLMs (..)

Data Science 52

Data Science Large Language Models Machine Learning Python 52

TransOrg Analytics

OCTOBER 3, 2024

In 2024, AI will be increasingly operationalized, automating data processes, optimizing workflows, and enhancing decision-making across industries. With AIs ability to manage unstructured data, it will be a game-changer for businesses looking to leverage their data for competitive advantage.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Integration Machine Learning 52

TransOrg Analytics

OCTOBER 3, 2024

In 2024, AI will be increasingly operationalized, automating data processes, optimizing workflows, and enhancing decision-making across industries. With AI’s ability to manage unstructured data, it will be a game-changer for businesses looking to leverage their data for competitive advantage.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Data Integration Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 12, 2024

Led by agricultural technology innovators, generative AI is the latest AI technology that helps agronomists and researchers have open-ended human-like interactions with computing applications to assist with a variety of tasks and automate historically manual processes. AWS Lambda is then used to further enrich the data.

Generative AI 104

Generative AI Prompt Engineer Prompt Engineering AI 104