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Building a Geospatial Lakehouse with Open Source and Databricks

Building a Geospatial Lakehouse with Open Source and Databricks
Most data that relates to a measurable process in the real world has a geospatial aspect to it. Organisations that ...
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Agentic AI from First Principles: Reflection

Agentic AI from First Principles: Reflection
says that “any sufficiently advanced technology is indistinguishable from magic”. That’s exactly how a lot of today’s AI frameworks feel. ...
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When Transformers Sing: Adapting SpectralKD for Text-Based Knowledge Distillation

When Transformers Sing: Adapting SpectralKD for Text-Based Knowledge Distillation
While working on my Knowledge Distillation problem for intent classification, I faced a puzzling roadblock. My setup involved a teacher ...
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How to Control a Robot with Python

How to Control a Robot with Python
PyBullet is an open-source simulation platform created by Facebook that’s designed for training physical agents (such as robots) in a ...
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Why Should We Bother with Quantum Computing in ML?

Why Should We Bother with Quantum Computing in ML?
When black cats prowl and pumpkins gleam, may luck be yours on Halloween. (Unknown) , conferences, workshops, articles, and books ...
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Is RAG Dead? The Rise of Context Engineering and Semantic Layers for Agentic AI

Is RAG Dead? The Rise of Context Engineering and Semantic Layers for Agentic AI
Introduction Retrieval-Augmented Generation (RAG) may have been necessary for the first wave of enterprise AI, but it’s quickly evolving into ...
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Scaling Recommender Transformers to a Billion Parameters

Scaling Recommender Transformers to a Billion Parameters
! My name is Kirill Khrylchenko, and I lead the RecSys R&D team at Yandex. One of our goals is ...
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How to Build An AI Agent with Function Calling and GPT-5

How to Build An AI Agent with Function Calling and GPT-5
and Large Language Models (LLMs) Large language models (LLMs) are advanced AI systems built on deep neural network such as transformers ...
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How to Build Guardrails for Effective Agents

How to Build Guardrails for Effective Agents
increasingly prevalent in a lot of applications. However, integrating agents into your application is a lot more than just giving ...
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Conceptual Frameworks for Data Science Projects

Conceptual Frameworks for Data Science Projects
are analytical structures for representing abstract concepts and organizing data. Data scientists regularly use such frameworks — knowingly or unknowingly ...
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