π An introduction to AWS Bedrock
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-01-13 | β±οΈ Read time: 13 min read
The how, why, what and where of Amazonβs LLM access layer
#DataScience #AI #Python
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-01-13 | β±οΈ Read time: 13 min read
The how, why, what and where of Amazonβs LLM access layer
#DataScience #AI #Python
π From βDataslowsβ to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric
π Category: DATA ENGINEERING
π Date: 2026-01-13 | β±οΈ Read time: 8 min read
Dataflows were (rightly?) considered βthe slowest and least performant optionβ for ingesting data into Powerβ¦
#DataScience #AI #Python
π Category: DATA ENGINEERING
π Date: 2026-01-13 | β±οΈ Read time: 8 min read
Dataflows were (rightly?) considered βthe slowest and least performant optionβ for ingesting data into Powerβ¦
#DataScience #AI #Python
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π Why Human-Centered Data Analytics Matters More Than Ever
π Category: DATA SCIENCE
π Date: 2026-01-14 | β±οΈ Read time: 8 min read
From optimizing metrics to designing meaning: putting people back into data-driven decisions
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-14 | β±οΈ Read time: 8 min read
From optimizing metrics to designing meaning: putting people back into data-driven decisions
#DataScience #AI #Python
π What Is a Knowledge Graph β and Why It Matters
π Category: DATA SCIENCE
π Date: 2026-01-14 | β±οΈ Read time: 18 min read
How structured knowledge became healthcareβs quiet advantage
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-14 | β±οΈ Read time: 18 min read
How structured knowledge became healthcareβs quiet advantage
#DataScience #AI #Python
π Glitches in the Attention Matrix
π Category: DEEP LEARNING
π Date: 2026-01-14 | β±οΈ Read time: 13 min read
A history of Transformer artifacts and the latest research on how to fix them
#DataScience #AI #Python
π Category: DEEP LEARNING
π Date: 2026-01-14 | β±οΈ Read time: 13 min read
A history of Transformer artifacts and the latest research on how to fix them
#DataScience #AI #Python
π Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries
π Category: MACHINE LEARNING
π Date: 2026-01-14 | β±οΈ Read time: 15 min read
Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh partsβ¦
#DataScience #AI #Python
π Category: MACHINE LEARNING
π Date: 2026-01-14 | β±οΈ Read time: 15 min read
Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh partsβ¦
#DataScience #AI #Python
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