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Comparing the Llama Models: Llama 3 vs Llama 3.1 vs Llama 3.2

Data Science Dojo

We aim to explore their features, performance, and the specific enhancements that each version brings to the table. Explore the basics of finetuning the Llama 2 model The Evolution of Llama 3 Models in 2024 Llama models saw a major upgrade in 2024, particularly the Llama 3 series. and Llama 3.2. and Llama 3.2 Hence, Llama 3.1

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Introducing Databricks One

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! Join now Ready to get started?

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Evaluating Long-Context Question & Answer Systems

Eugene Yan

eugeneyan Start Here Writing Speaking Prototyping About Evaluating Long-Context Question & Answer Systems [ llm eval survey ] · 28 min read While evaluating Q&A systems is straightforward with short paragraphs, complexity increases as documents grow larger. But even technically correct answers aren’t necessarily helpful.

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Announcing managed MCP servers with Unity Catalog and Mosaic AI Integration

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

AI 206
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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What is Context Engineering? The New Foundation for Reliable AI and RAG Systems

Data Science Dojo

This blog explores why context engineering is now the core discipline for AI engineers and architects. Without robust context engineering, AI systems are prone to hallucinations, outdated answers, and inconsistent performance. source: Philschmid What is Context Engineering? Every time, in every scenario.

AI 221
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7 DuckDB SQL Queries That Save You Hours of Pandas Work

KDnuggets

In this article, we will explore one such alternative, DuckDB. So enough with the terms, let’s get started! Let’s get started! Scenario 1: Compare the cost of two bonus programs designed to get more drivers online during a busy day. DuckDB feels more natural and cleaner as the logic gets more complex.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.