Tencent's Hunyuan-Large claims to beat DeepSeek-V2 and Llama3-405B with LESS Data

**Tencent** released a notable >300B parameter MoE model pretrained on **7T tokens**, including **1.5T synthetic data** generated via **Evol-Instruct**. The model introduces novel techniques like "recycle routing" and expert-specific learning rates, alongside a compute-efficient scaling law for MoE active parameters. However, its custom license restricts use in the EU and by companies with over 100M MAU, and it avoids China-sensitive queries. Meanwhile, **Anthropic** launched **Claude 3.5 Haiku**, now available on multiple platforms, praised for intelligence and speed but criticized for a **10x price increase**. **Meta** opened **Llama AI** to the U.S. defense sector, and a **Llama Impact Hackathon** offers a **$15K prize** for projects using **Llama 3.1 & 3.2 Vision**. **LlamaIndex** released a React chat UI component with Tailwind CSS and LLM backend integrations. The **MLX LM** model advances text generation speed and efficiency with KV cache quantization.