Six data shifts that will shape enterprise AI in 2026

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
InfoWorld

How to build RAG at scale

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
Learn With Jay on MSN

Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...
GitHub

ChrisDamian/thrag-threat-hunting

THRAG (Threat Hunting Retrieval Augmented Generation) revolutionizes cybersecurity by combining the power of retrieval augmented generation with advanced ML to transform raw security telemetry into ...
IEEE

Chatbot Framework for Power Quality Measurement Data and Documentation Using LLM and RAG

Abstract: Analyzing three-phase voltage and current waveforms to identify the root causes of power quality disturbances is a complex task. It requires expert knowledge and often involves referencing ...
VentureBeat

GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs

For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning ...
ricochet.media

Canada can’t build pipelines without Indigenous consent

Mark Carney signs an energy MOU with Premier Danielle Smith to make way for a new pipeline from the Alberta oilsands to the B.C. coast. The Union of B.C. Indian Chiefs said in a statement they are ...
Barron's

The U.S. is Building Pipelines; Investors Have Mixed Feelings

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