Latest in AI

turbovec brings Google Research's TurboQuant algorithm to vector search, offering 16x compression and zero codebook training for RAG pipelines.

The post Meet Turbovec: A Rust Vector Index with Python Bindings, and Built on Google’s TurboQuant Algorithm appeared first on MarkTechPost.

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, […]

The post How to Build Knowledge Graph Generation Pipelines From Text With kg-gen, NetworkX Analytics, and Interactive Visualizations appeared first on MarkTechPost.

Here are some good AI tool directories where you can submit your AI tool: Ailabhub Online – https://www.ailabhub.online/

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 […]

The post NVIDIA AI Releases Nemotron-Labs-Diffusion: A Tri-Mode Language Model with 6× Tokens Per Forward Over Qwen3-8B appeared first on MarkTechPost.

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.

The post Alibaba Qwen Team Introduces Qwen3.5-LiveTranslate-Flash: Real-Time Multimodal Interpretation Across 60 Languages at 2.8-Second Latency appeared first on MarkTechPost.

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.

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.

Google used its I/O 2026 developer keynote to ship a meaningful architectural shift in how it packages AI-assisted development. The company announced Google Antigravity 2.0 — a standalone desktop application built entirely around agent orchestration alongside an Antigravity CLI, an Antigravity SDK, Managed Agents in the Gemini API, and enterprise support through the Gemini Enterprise […]

The post Google Launches Antigravity 2.0 at I/O 2026: A Standalone Agent-First Platform with CLI, SDK, Managed Execution, and Enterprise Support appeared first on MarkTechPost.

Enterprise agentic AI has moved from pilots to production in 2026. This guide ranks the top 10 platforms — Salesforce Agentforce, Microsoft Copilot Studio, ServiceNow, LangGraph, and more — with verified pricing, real adoption data, and honest constraints to help enterprise teams make the right platform decision.

The post Best Enterprise Level Agentic AI Platforms for 2026 appeared first on MarkTechPost.

In this tutorial, we build an advanced agentic AI system using the OpenAI API and a hidden terminal prompt for the API key. We design the agent as a small pipeline of specialized roles: planner, tool-using executor, and critic, so that we can separate strategy, action, and quality control. We also integrate structured tools (calculator, […]

The post How to Build an Advanced Agentic AI System with Planning, Tool Calling, Memory, and Self-Critique Using OpenAI API appeared first on MarkTechPost.