Do We Really Need More Complex Models?
KDnuggets
OCTOBER 1, 2024
Simplicity might be a better solution.
Tue.Oct 01, 2024
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Build Compound AI Systems Faster with Databricks Mosaic AI
databricks
OCTOBER 1, 2024
Many of our customers are shifting from monolithic prompts with general-purpose models to specialized compound AI systems to achieve the quality needed for.
Using Llama 3.2 Locally
KDnuggets
OCTOBER 1, 2024
Learn how to download and use Llama 3.2 models locally using Msty. Also, learn how to access the Llama 3.2 vision models at the speed of light using the Groq API.
From Generalists to Specialists: The Evolution of AI Systems toward Compound AI
databricks
OCTOBER 1, 2024
The buzz around compound AI systems is real, and for good reason. Compound AI systems combine the best parts of multiple AI models.
Apache Airflow® Best Practices for ETL and ELT Pipelines
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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.
Getting Started with Llamafactory: Installation and Setup Guide
KDnuggets
OCTOBER 1, 2024
Get started with Llamafactory and discover minimal code solution for LLM pretraining, SFT, and RLHF methods.
Unlocking Financial Insights with a Custom Text-to-SQL Application
databricks
OCTOBER 1, 2024
Introduction Retrieval-augmented generation (RAG) has revolutionized how enterprises harness their unstructured knowledge base using Large Language Models (LLMs), and its potential has far-reaching.
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AVEVA World Conference: Redefining Industrial AI with AVEVA & Databricks
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OCTOBER 1, 2024
The upcoming AVEVA World Conference in Paris (Oct 14-17) promises to be a landmark event for the future of industrial AI, with Databricks playing a pivotal role in shaping this new paradigm. Building on our strategic collaboration, Databricks and AVEVA are set to showcase how our combined technologies are driving unprecedented outcomes for industrial organizations worldwide.
Your Guide to the Apache Flink® Table API: An In-Depth Exploration
Confluent
OCTOBER 1, 2024
Discover the Flink Table API, which helps developers express complex data processing in Java or Python. Get practical examples and guidance for your workflows.
Enterprise AI: Your Guide to How Artificial Intelligence is Shaping the Future of Business
databricks
OCTOBER 1, 2024
What is enterprise AI? Enterprise AI combines artificial intelligence, machine learning and natural language processing (NLP) capabilities with business intelligence. Organizations use enterprise.
Seamless Cloud Messaging: Integrating Apache Pulsar with Google Cloud Platform
RandomTrees
OCTOBER 1, 2024
Apache Pulsar is an all-in-one messaging and streaming platform. Messages can be consumed and acknowledged individually or consumed as streams. Its layered architecture allows rapid scaling across hundreds of nodes, without data reshuffling. Its features include multi-tenancy with resource separation and access control, geo-replication across regions, tiered storage and support for six official client languages.
Apache Airflow®: The Ultimate Guide to DAG Writing
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Unlocking the Power of Snowpark DataFrames with Modin
Cloudyard
OCTOBER 1, 2024
Read Time: 3 Minute, 57 Second Pandas, a popular Python library, is a fantastic tool for small to moderately sized data, but it struggles with large-scale datasets. Snowpark , combined with Modin , offers a powerful alternative by enabling scalable, distributed operations directly in Snowflake’s cloud infrastructure. This blog will explore the key differences between Pandas DataFrames and Snowpark DataFrames (enhanced by Modin ), demonstrate their respective strengths.
Monte Carlo Recognized as the #1 Data Observability Platform by G2 for 6th Consecutive Quarter
Monte Carlo
OCTOBER 1, 2024
For the sixth consecutive quarter, Monte Carlo has been named G2’s #1 Data Observability Platform. This recognition is especially meaningful to our team because G2 relies on feedback and ratings from real customers — individuals who use these tools daily to accomplish their tasks and create more value for their business. Filling our trophy case with G2 badges is wonderful, but mostly, we’re delighted to know our products are helping our customers create more value from data and achieve their go
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