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Description
Qwen2.5-VL marks the latest iteration in the Qwen vision-language model series, showcasing notable improvements compared to its predecessor, Qwen2-VL. This advanced model demonstrates exceptional capabilities in visual comprehension, adept at identifying a diverse range of objects such as text, charts, and various graphical elements within images. Functioning as an interactive visual agent, it can reason and effectively manipulate tools, making it suitable for applications involving both computer and mobile device interactions. Furthermore, Qwen2.5-VL is proficient in analyzing videos that are longer than one hour, enabling it to identify pertinent segments within those videos. The model also excels at accurately locating objects in images by creating bounding boxes or point annotations and supplies well-structured JSON outputs for coordinates and attributes. It provides structured data outputs for documents like scanned invoices, forms, and tables, which is particularly advantageous for industries such as finance and commerce. Offered in both base and instruct configurations across 3B, 7B, and 72B models, Qwen2.5-VL can be found on platforms like Hugging Face and ModelScope, further enhancing its accessibility for developers and researchers alike. This model not only elevates the capabilities of vision-language processing but also sets a new standard for future developments in the field.
Description
We have developed Yasna, an AI agent with a strong sense of empathy, capable of conducting numerous high-quality interviews in just a few hours. By simply providing instructions, you can have Yasna engage with as many participants as you require, who can respond via a user-friendly messenger-style chat interface. Once the interviews are complete, Yasna efficiently processes the collected data, enabling you to immediately begin your creative analysis or to integrate the findings into your existing workflows seamlessly.
Yasna is designed to adeptly handle the complexities of human conversation. She adjusts her approach based on the responses she receives, exhibiting the adaptability and intuition of a human moderator—she is keenly aware when answers lack depth and will ask follow-up questions until she has gathered adequate information.
Moreover, Yasna maintains a strong focus throughout each session. She consistently reflects on the study’s goals, ensuring that the discussions remain relevant and that the information obtained is both valuable and insightful. With her ability to sustain meaningful dialogue, Yasna enhances the quality of data collection significantly.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Alibaba Cloud
BLACKBOX AI
Hugging Face
LM-Kit.NET
ModelScope
Parasail
Qwen Chat
kluster.ai
Integrations
Alibaba Cloud
BLACKBOX AI
Hugging Face
LM-Kit.NET
ModelScope
Parasail
Qwen Chat
kluster.ai
Pricing Details
Free
Free Trial
Free Version
Pricing Details
€200/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwenlm.github.io/blog/qwen2.5-vl/
Vendor Details
Company Name
Yasna.ai
Founded
2023
Country
Slovakia
Website
yasna.ai
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration