AITOPAI热报
Models

Ling 发布 3.1-Flash，被类比为 Kimi K3-Flash

Teortaxes@teortaxesTex
Post
View the post
Why we picked it

Ling（蚂蚁系）发了 3.1-Flash，有人拿它和 DeepSeek V4.1-Flash、Kimi K3-Flash 类比，可以看看这条讨论。

Ling 发布了 3.1-Flash 模型。评论者认为其进展路径与 DeepSeek 的 V4.1-Flash 相似，并将其类比为 Kimi K3-Flash 的定位。Ling 被视为一个正在成长中的独立实验室。完整评测分数尚未公布。

Original · Teortaxes

This is really cool. You can think of this as Kimi K3-Flash. Ling apparently made the same progress with 3.1-Flash as DeepSeek with V4.1-Flash, and is becoming a serious lab in its own right. I want to see full scores. https://t.co/LTC67igIwK

#Ling#DeepSeek#Kimi#开源模型

Keep reading

Recent stories with the same tag or section
ModelsBuildersSelected17:26
vLLM Ships Day-0 Support for Sage-A1.5

Day-0 support means the model can be self-hosted on existing vLLM infrastructure immediately, without waiting for community integrations. With only 3B active parameters, it targets teams running agentic workloads on modest local hardware who want an alternative to larger dense models. Developers comparing open-source MoE options for on-premise serving should evaluate its throughput against Qwen and DeepSeek MoE checkpoints.

#Sage-A1.5#vLLM#Shanghai AI Lab#open-source models
官方账号vLLM@vllm_projectSource
ModelsBuildersSelected17:09
Tencent Hunyuan releases WorkForge agent training framework

Training agents on verifiable, evidence-grounded tasks addresses the core bottleneck of RL for long-horizon work: reward reliability. The 16.7K-environment scale makes this one of the larger open efforts in agent environment construction. Engineers building work or office agents can study the dual-verifier design for their own training pipelines.

#Tencent Hunyuan#WorkForge#agents#AI agents
官方账号腾讯混元@TencentHunyuanSource