# Multimodal Related Articles

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AI Jargon Dictionary (March 2026 Edition), Recommended to Bookmark

The "AI Jargon Dictionary (March 2026 Edition)" is a practical guide for those new to the AI field, especially crypto enthusiasts looking to stay relevant. It covers essential and advanced AI terms to help readers understand key concepts and avoid confusion in industry discussions. The dictionary is divided into two parts: **Basic Vocabulary (12 terms):** - Core concepts like LLM (Large Language Model), AI Agent (intelligent systems that execute tasks), Multimodal (handling multiple data types), and Prompt (user instructions). - Key technical terms: Token (processing unit), Context Window (token capacity), Memory (retaining user data), Training vs. Inference (learning vs. execution), and Tool Use (calling external tools). - Generative AI (AIGC) and API (integration interface) are also explained. **Advanced Vocabulary (18 terms):** - Technical foundations: Transformer architecture, Attention mechanism, and Parameters (model scale). - Emerging trends: Agentic Workflow (autonomous systems), Subagents, Skills (reusable modules), and Vibe Coding (AI-assisted programming). - Challenges: Hallucination (incorrect outputs), Latency (response time), Guardrails (safety controls). - Optimization techniques: Fine-tuning, Distillation (model compression), RAG (Retrieval-Augmented Generation), Grounding (fact-based responses), Embedding (vector encoding), and Benchmark (performance evaluation). The article emphasizes practicality, urging readers to learn these terms to navigate AI conversations confidently. It highlights terms like RAG and Grounding as critical for enterprise AI, while newer buzzwords like MCP (Model Context Protocol) and Vibe Coding reflect evolving trends. The goal is to provide a concise yet comprehensive reference for understanding AI jargon in 2026.

Odaily星球日报03/11 11:36

AI Jargon Dictionary (March 2026 Edition), Recommended to Bookmark

Odaily星球日报03/11 11:36

Average Age 'Post-95s', Over a Billion USD in the Books: MiniMax Knocks on Hong Kong Stock Exchange's Door

MiniMax, a leading Chinese AI startup founded in December 2021 by former SenseTime executives, has filed for an IPO in Hong Kong, potentially becoming one of the fastest AI companies to go public. Specializing in full-spectrum AGI technologies—spanning text, voice, video, and music—MiniMax operates on a dual-strategy of "large model + AI-native applications." As of September 2025, it serves over 212 million individual users across more than 200 countries and regions, along with 100,000+ enterprise clients. Notably, over 70% of its revenue comes from overseas markets. Its AI-native products, including Haiduo AI, Xingye/Talkie, and MiniMax Voice, saw average monthly active users grow sharply to 27.6 million in the first nine months of 2025. Financially, MiniMax reported revenue of $53.4 million for the first three quarters of 2025, a 174.7% year-on-year increase. Despite an adjusted net loss of $186 million during the same period, the company demonstrated improved operational efficiency, with R&D expenses growing only 30% while sales and marketing costs fell 26%. Technologically, MiniMax has released several cutting-edge models: the voice model Speech 02, video generator Video 01 (and its upgrade Hailuo 02), and the open-source MiniMax-M2 text model—ranked among the top five globally. Its M2 model incorporates "Interleaved Thinking" for enhanced reasoning and agentic capabilities. The company is highly R&D-focused, with nearly 80% of its 385 employees in technical roles. The executive team is notably young, with an average age of 32. MiniMax plans to allocate 70% of IPO proceeds to R&D over the next five years to further advance its models and AI-native products.

深潮12/22 02:45

Average Age 'Post-95s', Over a Billion USD in the Books: MiniMax Knocks on Hong Kong Stock Exchange's Door

深潮12/22 02:45

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