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AntTech

Sep 16, 2025 · Artificial Intelligence

Unveiling the 2025 Open‑Source Large Model Landscape: Trends and Insights

The 2025 Inclusion Bund conference revealed a rapidly evolving open‑source large‑model ecosystem, highlighting 114 top projects across 22 fields, a 35% update rate, global developer distribution, community initiatives like Modak and Silicon Flow, and forward‑looking discussions on Vibe Coding, AI Agents, and the future of AI development.

AIVibe Codingecosystem

0 likes · 13 min read

Unveiling the 2025 Open‑Source Large Model Landscape: Trends and Insights

AntTech

Sep 14, 2025 · Artificial Intelligence

Ring-mini-2.0: How a 16B MoE Model Delivers 128K Context and 500+ Tokens/s

Ring-mini-2.0 is a high‑performance inference MoE model that activates only 1.4 B parameters out of 16 B total, achieving dense‑model quality below 10 B while supporting 128 K context length and ultra‑fast generation speeds of over 300 tokens/s.

AIMoEinference optimization

0 likes · 4 min read

Ring-mini-2.0: How a 16B MoE Model Delivers 128K Context and 500+ Tokens/s

AntTech

Sep 14, 2025 · Artificial Intelligence

What the 2025 Global Large‑Model Open‑Source Landscape Reveals About AI Trends

The 2025 Inclusion AI Open‑Source Forum unveiled a data‑driven 2.0 report mapping 114 top projects across 22 fields, highlighting rapid growth, regional strategy splits, a surge in AI coding tools, and a detailed timeline of large‑model releases shaping the future of AI development.

AIcoding toolsindustry trends

0 likes · 6 min read

What the 2025 Global Large‑Model Open‑Source Landscape Reveals About AI Trends

AntTech

Sep 13, 2025 · Artificial Intelligence

LLaDA‑MoE: The First Native MoE Diffusion Language Model Shattering Autoregressive Limits

Ant Group and Renmin University unveiled LLaDA‑MoE, the industry’s first native MoE‑based diffusion language model trained on 20 TB of data, achieving performance comparable to Qwen2.5 while delivering several‑fold faster inference, and the model will be fully open‑sourced to accelerate global AI research.

AI researchLLaDA-MoEMoE

0 likes · 6 min read

LLaDA‑MoE: The First Native MoE Diffusion Language Model Shattering Autoregressive Limits

AntTech

Sep 13, 2025 · Artificial Intelligence

Why High‑Quality Data Is the New Breakthrough for Large‑Scale AI Models

At the 2025 Inclusion·Bund Conference forum, leading scholars and industry experts revealed how high‑quality data and AI form a dual‑engine that reshapes model training, improves performance, and drives the next evolution of intelligent systems.

AI training dataData InfrastructureData Quality

0 likes · 7 min read

Why High‑Quality Data Is the New Breakthrough for Large‑Scale AI Models

AntTech

Sep 12, 2025 · Artificial Intelligence

Breaking the AGI Wall: Scaling Laws, Multi‑Agent Collaboration & RL Insights

The Inclusion·外滩大会 forum explored how diminishing returns from massive models demand a shift toward cognitive reasoning, autonomous evolution, multi‑agent coordination, reinforcement learning, high‑quality data, and MoE diffusion models to bridge digital AI with the physical world.

AGIAI applicationsData Quality

0 likes · 7 min read

Breaking the AGI Wall: Scaling Laws, Multi‑Agent Collaboration & RL Insights

AntTech

Sep 12, 2025 · Artificial Intelligence

Unlock Enterprise AI Success with the New AI Adoption Maturity Model (AIM²)

The article introduces the AI Adoption Maturity Model (AIM²), a five‑level framework covering strategy, organization, data, technology, application, and business, and showcases industry case studies that illustrate how enterprises can assess their AI readiness, identify gaps, and accelerate AI‑driven transformation.

AI adoptionAI frameworkAI maturity

0 likes · 5 min read

Unlock Enterprise AI Success with the New AI Adoption Maturity Model (AIM²)

AntTech

Sep 12, 2025 · Artificial Intelligence

Is 2025 the Dawn of the AI Agent Era? Expert Insights from the Inclusion Conference

At the 2025 Inclusion·外滩大会 forum, leading academics and industry pioneers discussed rapid advances in AI agents, highlighting breakthroughs in multi‑agent systems, reinforcement learning, open‑source frameworks, and the practical challenges of cost, performance, and usability that still separate "usable" from truly "useful" technology.

AI AgentsMulti-Agent SystemsOpen Source Frameworks

0 likes · 7 min read

Is 2025 the Dawn of the AI Agent Era? Expert Insights from the Inclusion Conference

AntTech

Sep 11, 2025 · Artificial Intelligence

Ling-mini-2.0: How a 16B MoE Model Achieves Dense-Level Performance with Only 1.4B Active Parameters

Ling-mini-2.0, an open-source 16 B MoE language model that activates only 1.4 B parameters, achieves dense-level performance with 7× efficiency, generates over 300 tokens / s, and introduces the first FP8 mixed-precision training suite, offering multiple pre-training checkpoints for the AI community.

Efficient InferenceFP8 trainingMoE

0 likes · 6 min read

Ling-mini-2.0: How a 16B MoE Model Achieves Dense-Level Performance with Only 1.4B Active Parameters

AntTech

Aug 27, 2025 · Mobile Development

How Alipay Built an AI Travel Assistant in Two Months with xUI, gRPC, and KMP

This article details the two‑month end‑to‑end development of Alipay's AI Travel Assistant, describing the product concept, technical background, adoption of the xUI interaction framework, gRPC streaming, Kotlin Multiplatform integration, migration challenges, performance metrics, and future roadmap.

AICross‑PlatformKotlin Multiplatform

0 likes · 23 min read

How Alipay Built an AI Travel Assistant in Two Months with xUI, gRPC, and KMP