Tue.Oct 22, 2024

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Get Hired Fast: Trending AI Tool to Find and Apply for Your Dream Job

KDnuggets

Tired of endless job applications? Discover how AI is transforming the job hunt and helping people land their dream careers with just a single click.

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Introducing Simple, Fast, and Scalable Batch LLM Inference on Mosaic AI Model Serving

databricks

Over the years, organizations have amassed a vast amount of unstructured text data—documents, reports, and emails—but extracting meaningful insights has remained a challenge.

Data 137
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DeepLearning.AI Dropped a New Course

KDnuggets

With the development of AI technologies and tools, the best one can do for their career is stay ahead of the game and continue to upskill.

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What’s New With Databricks Assistant?

databricks

Over the past few months, we’ve been gathering your feedback and focusing on both the quality of Databricks Assistant’s responses and the overall.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

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.

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5 Lesser-Known Data Transformation Techniques for Better Analysis

KDnuggets

Utilize these transformation techniques in your data workflow.

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IPLS: Privacy-preserving storage for your WhatsApp contacts

Engineering at Meta

Your contact list is fundamental to the experiences you love and enjoy on WhatsApp. With contacts, you know which of your friends and family are on WhatsApp, you can easily message or call them, and it helps give you context on who is in your groups. But losing your phone could mean losing your contact list as well. Traditionally, WhatsApp has lacked the ability to store your contact list in a way that can be easily and automatically restored in the event you lose it.

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DataMynd: Empowering Data Teams with Native Data Privacy Solutions

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we ask startup founders about the problems they’re solving, the apps they’re building, and the lessons they’ve learned during their startup journey. In this edition, hear from DataMynd.ai Founder and CEO Chuck Frisbie about how synthetic data is the answer to balancing the need for data privacy with the need for data access, and some of the unexpected benefits of their Snowflake Native App.

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Turbocharging GPU Inference at Logically AI

databricks

Founded in 2017, Logically is a leader in using AI to augment clients’ intelligence capability. By processing and analyzing vast amounts of data.

Process 98
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Snowflake Ventures Invests in Eppo to Bring Experimentation to the AI Data Cloud

Snowflake

Experimentation tools like A/B tests, Geolift incrementality tests and AI model evaluations have become indispensable for product and marketing teams seeking to optimize their initiatives and drive better business outcomes. By systematically comparing two versions of a product feature, marketing asset or user experience, companies can make data-driven decisions that eliminate the guesswork and, ultimately, the risk of costly mistakes.

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Join the Ultimate AWS GameDay Challenge with Confluent

Confluent

Join Confluent at AWS GameDay to explore real-time data solutions. Learn how to power your apps with scalable, cloud-native data streaming.

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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!

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Government AI: Starting Small with Small Language Models (SLMs)

Elder Research

Small language models (SLMs) can offer a practical and cost-effective starting point for government organizations venturing into AI.

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Universal Data Supply: Know Your Business

Towards Data Science

An industry example to emphasize the importance of understanding your business case Continue reading on Towards Data Science »

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The Evolution of LLMOps: Adapting MLOps for GenAI

Cloudera

In recent years, machine learning operations (MLOps) have become the standard practice for developing, deploying, and managing machine learning models. MLOps standardizes processes and workflows for faster, scalable, and risk-free model deployment, centralizing model management, automating CI/CD for deployment, providing continuous monitoring, and ensuring governance and release best practices.