KDnuggets

JUNE 18, 2024

Get your own local RAG system up and running in an embarrassingly few lines of code thanks to these 3 Llamas.

Coding 118

Coding Systems 118

Cloudera

JUNE 18, 2024

The world of Generative AI (GenAI) is rapidly evolving, with a wide array of models available for businesses to leverage. These models can be broadly categorized into two types: closed-source (proprietary) and open-source models. Closed-source models, such as OpenAI’s GPT-4o, Anthropic’s Claude 3, or Google’s Gemini 1.5 Pro, are developed and maintained by private and public companies.

Google Cloud 64

Google Cloud Government Cloud Architecture 64

KDnuggets

JUNE 18, 2024

Going beyond technical skills; learn how to make a data science profile that stands out and helps you land your dream role.

Data Science 106

Data Science Data 106

RandomTrees

JUNE 18, 2024

Customer services are continuously changing significantly. Now, it is not about waiting for hours plus and getting irritating phone menus. For instance, artificial intelligence (AI) chatbots powered by the latest machine learning and natural language processing (NLP) applications have redefined interaction between companies and their customers. The old days, where virtual assistants used to handle simple queries, are gone.

Machine Learning 52

Machine Learning Programming Algorithm Data Collection 52

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

phData: Data Engineering

JUNE 18, 2024

Machine learning (ML) is only possible because of all the data we collect. However, with data coming from so many different sources, it doesn’t always come in a format that’s easy for ML models to understand. Before you can take advantage of everything ML offers, much prep work is involved. In this blog, we’ll explain why you should prepare your data before use in machine learning , how to clean and preprocess the data, and a few tips and tricks about data preparation.

Machine Learning 52

Machine Learning Algorithm Data Preparation Datasets 52

Striim

JUNE 18, 2024

In today’s fast-paced world, staying ahead of the competition requires making decisions informed by the freshest data available — and quickly. That’s where real-time data integration comes into play. By seamlessly blending and updating information from numerous sources, businesses can guarantee their AI systems are fueled by the latest, most accurate data.

Data Integration 52

Data Integration Data Lake Retail Healthcare 52