Remove category data-strategy
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Transformer models: A guide to understanding different transformer architectures and their uses

Data Science Dojo

While we have talked about the details of a typical transformer architecture, in this blog we will explore the different types of the models. Their role is critical to ensure improved accuracy, faster training on data, and wider applicability. How to categorize transformer models?

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Maximizing sales success with dashboards: Understanding its importance

Data Science Dojo

A well-designed dashboard can help sales teams to track key performance indicators (KPIs) in real-time, which can provide valuable insights into sales performance and help teams to make data-driven decisions. A dashboard can be a great way to visualize this data, providing an easy-to-use interface for tracking and analyzing KPIs.

Big Data 195
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Expanding on ethical considerations of foundation models

IBM Journey to AI blog

The paper lays out the potential risks associated with foundation models through the lenses of ethics, laws, and regulations in three different categories: Traditional. These strategies focus on balancing safety with innovation and allowing users to experience the power of AI and foundation models.

AI 66
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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning Blog

With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories.

AWS 103
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Why optimize your warehouse with a data lakehouse strategy

IBM Journey to AI blog

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

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6 Ways Data Analytics Can Improve Targeting with LinkedIn Ads

Smart Data Collective

Big data has become a very important part of modern marketing practices. More companies are using data analytics and AI to optimize their marketing strategies. LinkedIn is one of the platforms that helps people use big data to facilitate online marketing. Sprout Social has a blog post on accomplishing this.

Analytics 140
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Best Practices for Metadata Management

Alation

Metadata is information about data. Folks who work closely with data, like analysts, data scientists, and IT teams, rely on metadata to give them crucial context for how to use a given asset. Today, metadata is extremely helpful in classifying, describing, and providing critical information about digital data.