Daily Discovery of Latest LLMs

Date: 2025-10-10 · Location: Hong Kong, China

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📢 Overview

Highlighted Releases:

• Language Model: UserLM
• Foundation Model: Lumina-DiMOO
• Language Model (Code): CoDA-v0-Instruct
• Reasoning Model: Jamba-Reasoning
• Visualization Tool: Model Explorer ONNX
• Video Framework: Code2Video

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🏆 Foundation Models

1. UserLM — Simulating the User Side of Conversations

Key Points:

• Developer: Microsoft
• Model Size: 8B parameters
• Purpose: Predicts what a user would say in conversational settings.
• Use Cases:
• Generates initial user utterances
• Produces follow-up turns based on task intent
• Marks conversation endings
• Benefit: Enables more realistic dialogue simulation for advanced assistants.

🔖 Quick Link:

https://sota.jiqizhixin.com/project/userlm

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2. Lumina-DiMOO — Unified Multimodal Foundation Model

Key Points:

• Focus: Multimodal generation & understanding
• Architecture: Fully discrete diffusion modeling
• Capabilities:
• Text-to-image generation
• Image editing & theme synthesis
• Image restoration
• Advanced image understanding
• Advantage:
• Superior sampling efficiency
• 2× faster inference with custom cache design
• Performance: State-of-the-art in multiple benchmarks; surpasses all prior open-source unified multimodal models.

🔖 Quick Link:

https://sota.jiqizhixin.com/project/lumina-dimoo

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3. CoDA-v0-Instruct — Context-Aware Code Generation

Key Points:

• Developer: Salesforce AI Research
• Type: Diffusion-based LM for code
• Mechanism: Discrete diffusion modeling of past and future tokens
• Strengths:
• Robust code generation
• Bidirectional context comprehension
• Optimized for code completion tasks
• Model Size: 1.7B parameters

🔖 Quick Link:

https://sota.jiqizhixin.com/project/coda-v0-instruct

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4. Jamba-Reasoning — Efficient Reasoning in a Compact Form

Key Points:

• Developer: AI21 Labs
• Size: 3B parameters
• Hybrid Architecture: Transformer + Mamba state-space model
• Benefits:
• Efficient sequence processing
• Runs on laptops, GPUs, mobile devices
• Supports ultra-long context
• Use Cases: Edge deployments & data center workloads requiring reasoning.

🔖 Quick Link:

https://sota.jiqizhixin.com/project/ai21-jamba-2

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🛠️ Frameworks, Platforms & Tools

1. Model Explorer ONNX — Visual Analysis of AI Models

Purpose:

A visualization tool for ONNX models that displays inputs, outputs, and computational nodes in a clear graphical interface.

Features:

• Multiple color themes for visualization
• Windows support via WSL
• Integrated with PyTorch ONNX exporter
• Accuracy validation for intermediate results

Ecosystem Context:

Tools like Model Explorer ONNX reduce complexity in model inspection, complementing advanced models like Lumina-DiMOO and CoDA.

Open-source platforms like AiToEarn官网 offer creators a way to:

• Create, publish, and monetize AI content across Douyin, Bilibili, Facebook, Instagram, YouTube, and X.
• Use integrated analytics and model ranking (AI模型排名) for performance tracking.

🔖 Quick Link:

https://sota.jiqizhixin.com/project/model-explorer-onnx

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🤖 Agent Development Tool: Code2Video

Overview:

Framework designed to produce high-quality educational videos from structured Manim code, ensuring clarity, reproducibility, and consistency.

Key Components:

• Agents:
• Planner — defines video structure
• Coder — generates executable scripts
• Reviewer — validates output quality
• Benchmark:
• MMMC dataset across 117 educational topics
• Difference:
• Code-driven generation instead of direct pixel-based models.

Use Case: Ideal for educators & knowledge content creators seeking automated and reusable visual materials.

🔖 Quick Link:

https://sota.jiqizhixin.com/project/code2video

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🌐 AI Content Monetization & Distribution

In the AI content creation ecosystem, synergy between tools (Model Explorer ONNX, Code2Video) and platforms (AiToEarn官网) enables:

• Simultaneous publication on Douyin, Kwai, WeChat, Bilibili, Rednote (Xiaohongshu), Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter).
• Integrated content generation and analytics tools.
• Conversion of AI creativity into sustainable income streams.

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