Tencent Launches WeMM-Embedding — A Multimodal Model for Query Processing

#AI#Tencent#WeMMEmbedding#multimodal

Tencent has unveiled the WeMM-Embedding, a new multimodal model that processes around 1 billion queries daily. The model supports text, images, and video, offering flexibility in dimensionality for various tasks.

AI Radar • Plus Tier

Full Engineering Breakdown Available in Plus Plan

Daily technical analyses, benchmark reviews, model changes, and vibe coding case studies unlock in the Plus plan.

Discuss in community

Share your questions and insights with developers

Join Telegram

← Back to news feed

Tencent Launches WeMM-Embedding — A Multimodal Model for Query Processing

Full Engineering Breakdown Available in Plus Plan

Discuss in community

Read next

OpenAI: Internal AI model solved 100+ open math problems in under a month of training

Xiaomi Releases MiMo-V2.6: New Open AI Model Tops Benchmarks

OpenAI Researcher’s Notes for AI Interview Preparation

Tencent Launches WeMM-Embedding — A Multimodal Model for Query Processing

Full Engineering Breakdown Available in Plus Plan

Discuss in community

Read next

OpenAI: Internal AI model solved 100+ open math problems in under a month of training

Xiaomi Releases MiMo-V2.6: New Open AI Model Tops Benchmarks

OpenAI Researcher’s Notes for AI Interview Preparation