AI Briefing#large-language-model
The latest AI and developer news about #large-language-model, with the original source and a short summary.
The latest AI and developer news about #large-language-model, with the original source and a short summary.
The model achieves an average WorkBuddy score of 83.18 and reduces hallucination rates from 12.95% to 7.2% while maintaining pricing of US$0.90 per million input tokens.
Google has launched Gemini 3.7 Flash, optimized for coding and agent workflows, offering a 50% API price discount until the end of 2026.
AI call centers combine natural language dialogue and automation to reduce customer service costs and wait times.
Experimental results suggest that LLMs can partially detect and regulate their internal states.
ByteDance is training a massive AI model with up to 10 trillion parameters.
Amazon is providing Trainium research support to 34 AI research teams from 30 universities.
Huawei has open-sourced openPangu-2.0-Pro, a 505B-parameter MoE model based on Ascend.
Ant Group has released the LLaDA2.0 series, a large-scale diffusion language model with a 100B-parameter MoE architecture.
Moonshot AI has released Kimi K3, an open-weight multimodal model with 2.8T parameters.
Swiss-AI has released Apertus-v1.5, an open-source model equipped with multimodal capabilities and a thinking mode.
Inkling, a 975B-scale open-weight multimodal model designed for fine-tuning, has been released.
Alibaba plans to release Qwen3.8, a massive model with 2.4 trillion parameters, as open-weight.
Alibaba has announced the upcoming release of the 2.4T-parameter Qwen3.8 model along with an open-weight release.
Moonshot AI has unveiled Kimi K3, a large-scale open-weight model with 2.8 trillion parameters.
Xiaomi has released the MiMo-V2.5-DFlash model weights, which have a large number of parameters, via Hugging Face.
Meituan has released LongCat-2.0, an open-source MoE model with 1.6T parameters trained on AI ASICs.
Tencent has released Hy3, a 295B-parameter MoE model, under the Apache 2.0 license.
openPangu-2.0-Flash, a 92B MoE model based on Ascend, has been released.
Huawei has open-sourced the OpenPangu-2.0-Flash model, which supports a 512K context length.
LongCat-2.0, a large-scale MoE-structured model with a total of 1.6 trillion parameters, has been released.
Italian startup Domyn has announced plans to develop a large-scale 400B model for European AI sovereignty.
GLM-5.2 comes close to frontier models in benchmark performance, pushing the boundaries of open models further.
InclusionAI has released the Ling and Ring 2.6 models, achieving agentic intelligence at trillion-parameter scale.
mindlab-research has released Macaron-V1-Preview, a model with 749B parameters.