We are committed to safeguard your personal data. We provide engaging contents (not limited to articles) for users. Thus the security of your personal data is important to us. This privacy policy shows how we collect, hold, disclosure or process your personal data. Please read the following carefully as to understand our practices regarding the personal data.
We collect various types of personal information through our website or various sources. We collect this information to better communicate with you, and here are the types of personal data we collect. a. Personal identifiable data (e.g. name, e-mail address). This personal data is used to identify, locate, or contact an individual user. b. Pseudonymous data (e.g. “user 000” ). The pseudonymous data is used to instead the true name of a person.
We may use your personal data to provide your with higher-quality products and better customer services on the basis of the law. Our purposes includes but not limited to the following:
a. Verifying your identity before responding you feedback or queries, or offering you the best service;
b. Seeking for professional advice, legal or otherwise in order to provide the relevant services to you;
c. Investigating or addressing the claims, disputes or other complaints.
d. Ensuring good user experience, efficient technical support, and security of the service
Your personal data can only be accessed by the authorized staff. They are required to protect your personal data all the time abiding by the contractual responsibility.
We shall not send or sell any personal information of our clients to third parties. Your personal data will not be published or disclosure on our website or other platform.
The cookies are created when you are browsing the website. The Cookies keep you sign in, recommend you relevant content, as well as to enhance your experience. When you are browsing a website, cookies are accessed by the server to know your preferences, and you can view the website content more efficiently. Many browsers accept the cookies automatically. If you don’t want your cookies to be collected, you can refuse the cookies. But some features will not be available to you or some web pages of our website will not display properly.
A pixel tag (1*1 pixel) is a graphic that is loaded when the customer visits the web page. The tracking pixel is designed to be transparent and be invisible to users. The cookies and the pixel tags are used to monitor the users behavior on the website. You have the choice to disable the pixel tags, while it may limit some features on your use of the website.
An internet protocol address is a numerical label assigned to connect a computer network. We only keep the IP address to provide the customer service.
a. Clear your history or browser cache after each browsing on your computer. You are strongly required to clear the browser’s disk cache after each visit on our website.
b. If you want to visit our website, you can enter the website address directly on the browser address bar.
c. Be aware of the spyware which may track your internet session or acquire your personal data and the browsing history.
d. Make sure the anti-virus and firewall software installed on your personal computer. Ensure that you have installed the newest operating system on your computer.
e. Be aware of the email frauds and delete the junk emails regularly.
About
Insight into the strategic partnership between Hugging Face and FriendliAI, aimed at streamlining AI model deployment on the Hub for enhanced efficiency and user experience.
Deploy and fine-tune DeepSeek models on AWS using EC2, S3, and Hugging Face tools. This comprehensive guide walks you through setting up, training, and scaling DeepSeek models efficiently in the cloud.
Explore the next-generation language models, T5, DeBERTa, and GPT-3, that serve as true alternatives to BERT. Get insights into the future of natural language processing.
Explore the impact of the EU AI Act on open source developers, their responsibilities and the changes they need to implement in their future projects.
Exploring the power of integrating Hugging Face and PyCharm in model training, dataset management, and debugging for machine learning projects with transformers.
Learn how to train static embedding models up to 400x faster using Sentence Transformers. Explore how contrastive learning and smart sampling techniques can accelerate embedding generation and improve accuracy.
Discover how SmolVLM is revolutionizing AI with its compact 250M and 500M vision-language models. Experience strong performance without the need for hefty compute power.
Discover CFM’s innovative approach to fine-tuning small AI models using insights from large language models (LLMs). A case study in improving speed, accuracy, and cost-efficiency in AI optimization.
Discover the transformative influence of AI-powered TL;DR tools on how we manage, summarize, and digest information faster and more efficiently.
Explore how the integration of vision transforms SmolAgents from mere scripted tools to adaptable systems that interact with real-world environments intelligently.
Explore the lightweight yet powerful SmolVLM, a distinctive vision-language model built for real-world applications. Uncover how it balances exceptional performance with efficiency.
Delve into smolagents, a streamlined Python library that simplifies AI agent creation. Understand how it aids developers in constructing intelligent, modular systems with minimal setup.