Qwen 3 Coder: NEW Agentic Coding LLM! Insanely Powerful, Fast, & Free! (Opensource)
Summary
The video introduces the Quen 3 coder 480B, a cutting-edge open-source release with 480 billion parameters and exceptional performance. It showcases the model's features such as a 256k context window, additional collation tokens, and an open-sourced command-line tool for Aentic coding. Compared against other open models like DeepS V3, Quen 3 coder 480B demonstrates superior coding benchmarks and abilities in creating diverse simulations, dashboards, and interfaces efficiently. Additionally, a new outreach agent is introduced for tasks like enhancing Notion databases, sending personalized emails, and automating tasks without coding, further enhancing productivity and ease of use. The video also highlights the AI model's proficiency in generating weather cards, SAS landing pages, visualizing simulations, and parsing CSV data effectively.
Introduction of Quen 3 Coder 480B
Introduction of the Quen 3 coder 480B, a state-of-the-art open-source release with 480 billion parameters and top-tier performance results.
Features of Quen 3 Coder 480B
Details about the features of Quen 3 coder 480B including a 256k context window, extra collation tokens, and open-sourcing of a command-line tool for Aentic coding.
Coding Benchmarks Comparison
Comparison of Quen 3 coder 480B against other open models like DeepS V3 and Terminal Bench, showcasing its superior performance in coding benchmarks.
Demostration of Coding Abilities
Various demonstrations showcasing the coding abilities of Quen 3 coder 480B including creating a physics-driven simulation, a dashboard using p5.js, and other frontend and backend creations.
AI-Powered Teammates
Introduction of an outreach agent that enhances information on a Notion database, sends personalized emails, and automates tasks without coding, providing peace of mind and efficiency.
Generating Weather Card
Demonstration of generating a weather card with different weather types using the AI model efficiently and accurately.
SAS Landing Page Generation
Creating a SAS landing page to test the AI model's output proficiency in producing user interfaces and user experiences effectively.
Visualizing Animated Nodes
Visualizing animated nodes and connections for complex simulations, assessing the model's capability of generating multi-language visualizations.
CSV Data Visualizer
Analysis of the AI model's efficiency in parsing CSV data, creating bar charts, line charts, and a modular design from the data provided.
FAQ
Q: What are some key features of Quen 3 coder 480B?
A: Some key features of Quen 3 coder 480B include a 256k context window, extra collation tokens, and open-sourcing of a command-line tool for Aentic coding.
Q: How does the performance of Quen 3 coder 480B compare to other open models like DeepS V3 and Terminal Bench?
A: Quen 3 coder 480B showcases superior performance in coding benchmarks compared to other open models like DeepS V3 and Terminal Bench.
Q: What are some demonstrations that showcase the coding abilities of Quen 3 coder 480B?
A: Some demonstrations include creating a physics-driven simulation, a dashboard using p5.js, and other frontend and backend creations.
Q: What capabilities does the outreach agent associated with Quen 3 coder 480B offer?
A: The outreach agent enhances information on a Notion database, sends personalized emails, and automates tasks without coding, providing peace of mind and efficiency.
Q: Can the AI model efficiently generate weather cards with different weather types?
A: Yes, the AI model can efficiently and accurately generate weather cards with different weather types.
Q: In what ways does the AI model demonstrate its proficiency in producing user interfaces and user experiences?
A: The AI model demonstrates its output proficiency in producing user interfaces and user experiences effectively through creating a SAS landing page.
Q: What type of visualizations can the AI model generate for complex simulations?
A: The AI model can visualize animated nodes and connections for complex simulations, assessing its capability of generating multi-language visualizations.
Q: How efficient is the AI model in parsing CSV data and creating visualizations like bar charts and line charts?
A: The AI model is efficient in parsing CSV data and creating visualizations like bar charts, line charts, and a modular design from the data provided.
Get your own AI Agent Today
Thousands of businesses worldwide are using Chaindesk Generative
AI platform.
Don't get left behind - start building your
own custom AI chatbot now!