Moonshot’s Kimi K3 Features a 2.8 Trillion Parameter Scale

Kimi K3 architecture utilizes a mixture of experts design featuring an efficient 1.8% activation ratio. Understand how this ...
Stratechery

Who’s Afraid of Chinese Models?

Everyone is worried about Chinese models, but the frontier labs will be fine; we need to enable open U.S. alternatives.
The Manila Times

Fluree Launches Verifiable Knowledge Graph Database for Agentic AI

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries fast and efficiently, carry citations and lineage on every ...
GitHub

tutorial-load-data.md

title Tutorial: Load Sample Data for Graph in Microsoft Fabric description Learn how to load the Adventure Works sample data into a lakehouse for use with graph in Microsoft Fabric, including ...
VentureBeat

AWS enters the context layer race with a graph that learns from agents, not manual curation

Building a context layer between enterprise data stores and AI agents is bespoke work, with no standard service to automate or maintain the graphs over time. Amazon is making a direct play to change ...
7wdata

Data Knowledge Graph

Data Knowledge Graph by Datafold is an AI-powered context layer designed for data engineering teams that rely on AI coding agents. It automatically collects and unifies context across data, pipelines, ...
Hacker

Context Graphs, Ontologies, and the Race to Fix Enterprise AI

Got Tech, Data, AI and Media, and not afraid to use them. Gartner highlighted Data Management, Semantic Layers, and GraphRAG as Top Trends in Data and Analytics for 2026. Startups and incumbents in ...
Bloomberg L.P.

WatersTechnology | Knowledge graphs, data quality, and reuse form Bloomberg’s AI strategy

This article was originally published by WatersTechnology. Since 2023, Bloomberg has unveiled its internal LLM, BloombergGPT, and added an array of AI-powered tools to the terminal. As banks and asset ...
marktechpost

A Coding Implementation to Training, Optimizing, Evaluating, and Interpreting Knowledge Graph Embeddings with PyKEEN

In this tutorial, we walk through an end-to-end, advanced workflow for knowledge graph embeddings using PyKEEN, actively exploring how modern embedding models are trained, evaluated, optimized, and ...
marktechpost

How Tree-KG Enables Hierarchical Knowledge Graphs for Contextual Navigation and Explainable Multi-Hop Reasoning Beyond Traditional RAG

In this tutorial, we implement Tree-KG, an advanced hierarchical knowledge graph system that goes beyond traditional retrieval-augmented generation by combining semantic embeddings with explicit graph ...
InfoWorld

Anatomy of an AI agent knowledge base

AI agent fervor has permeated the software development world. But, we’re no longer talking about a singular, all-knowing AI. Rather, emerging agentic workflows rely on multiple specialized agents ...