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How to Build Knowledge Graph Generation Pipelines From Text With kg-gen, NetworkX Analytics, and Interactive Visualizations

In this tutorial, we will generate knowledge graphs from plain text, conversations, and multiple source documents using kg-gen. We start by setting up the required dependencies and configuring an LLM through LiteLLM, then we extract entities, predicates, and relationships from simple text. As we move forward, we work with longer passages using chunking and clustering, […]

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Agentic AI, AI Infrastructure, AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, software-engineering, Staff, Tech News, Technology

NVIDIA AI Releases Nemotron-Labs-Diffusion: A Tri-Mode Language Model with 6× Tokens Per Forward Over Qwen3-8B

NVIDIA researchers have released Nemotron-Labs-Diffusion, a language model family that unifies three decoding modes in one architecture. The model supports autoregressive (AR) decoding, diffusion-based parallel decoding, and self-speculation decoding. It is available in 3B, 8B, and 14B parameter sizes. The family includes base, instruct, and vision-language variants. Sequential Decoding Limits Throughput Standard autoregressive (AR) language […]

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Agentic AI, ai, AI Hardware & Chips, AI in Action, Artificial Intelligence, enterprise, Infrastructure & Hardware, T-Head

Alibaba is designing AI chips around agents, and that changes what the race is actually about

Alibaba has unveiled a new AI processor built specifically for AI agents, pairing the chip announcement with a multi-year silicon roadmap and a new large language model, signalling that the company is building an integrated AI stack, not just filling a gap left by US export controls. The Zhenwu M890, developed by Alibaba’s semiconductor subsidiary […]

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Agentic AI, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, software-engineering, Staff, Tech News, Technology

Alibaba Qwen Team Introduces Qwen3.5-LiveTranslate-Flash: Real-Time Multimodal Interpretation Across 60 Languages at 2.8-Second Latency

Alibaba’s Qwen team has released Qwen3.5-LiveTranslate-Flash, a real-time multimodal translation model that processes audio and video simultaneously. The model covers 60 input languages and produces speech output in 29 languages at 2.8 seconds of latency. Key additions over the previous Qwen3 version include real-time speaker voice cloning, vision-enhanced comprehension via lip movements and on-screen text, and dynamic keyword configuration for domain-specific terminology. On FLEURS and CoVoST2 benchmarks, the model outperforms major commercial alternatives. It is available as an API-only model through Alibaba Cloud Model Studio using a WebSocket-based protocol.

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Agentic AI, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, New Releases, software-engineering, Staff, Tech News, Technology

Google Introduces Gemini 3.5 Flash at I/O 2026: A Faster and Cheaper Model for AI Agents and Coding

Google’s Gemini 3.5 Flash beats its own flagship on coding and agentic benchmarks while running four times faster and at half the cost.

The post Google Introduces Gemini 3.5 Flash at I/O 2026: A Faster and Cheaper Model for AI Agents and Coding appeared first on MarkTechPost.

Agentic AI, AI Agents, Databases, Editors Pick, software-engineering, Staff, Tech News, vector database, vibe-coding

Upstash for Redis vs Supabase vs Neon: Which One Fits Vibe Coding Workflows in 2026?

Not all database platforms are built for the same job.Not all database platforms are built for the same job. Here is how Upstash, Supabase, and Neon actually differ — and which one fits your vibe coding workflow in 2026.

The post Upstash for Redis vs Supabase vs Neon: Which One Fits Vibe Coding Workflows in 2026? appeared first on MarkTechPost.

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