How to use the new DeepSeek R1 safely

DeepSeek R1 is the latest release in AI (LLMs), emerging as a strong competitor to OpenAI's O1 model. With superior performance across various natural language processing tasks, it has been attracting the attention of both experts and companies seeking more advanced Artificial Intelligence solutions. In this post, we'll explore why DeepSeek R1 is trending, how it stands out in terms of performance, and, most importantly, how to use it safely through Kloel AI.

Why is the model trending?

One of the key factors behind DeepSeek R1's rapid rise is its ability to deliver results superior to OpenAI's O1 model while requiring only 3% of the resources its competitor's solution requires. This not only draws attention because of the significant efficiency gains, but also highlights the innovative nature of the model's architecture, which is based on advanced Reinforcement Learning techniques. With this approach, DeepSeek R1 does not merely process large volumes of text; it uses continuous evaluation and adjustment mechanisms that allow it to “reason” iteratively.

In addition to its direct impact on costs and performance, DeepSeek R1's sustainability focus has also drawn attention. By requiring less computing infrastructure, it reduces energy consumption and, consequently, its carbon footprint—a point increasingly valued in a market seeking to balance innovation and environmental responsibility. All this efficiency had a major impact on the international financial scene: shortly after DeepSeek R1's success was announced, AI companies such as Nvidia, Meta, and Alphabet (Google) saw significant drops in their stock prices. Fears of a possible “disruption” driven by Chinese technology led some investors to reconsider their positions, reinforcing the perception that DeepSeek R1 ushers in a new phase in the language model market.

DeepSeek R1 Performance on AI Benchmarks

To establish its status as a formidable competitor to OpenAI's O1, DeepSeek R1 was put through various formal tests. Kloel AI closely follows these results to offer its customers the best user experience. Below, we see how the model performed in Mathematics, Programming, and General Knowledge.

Mathematics Benchmark: AIME 2024 and MATH-500

One of the major challenges for language models is their ability to handle complex mathematical problems, which require not only text interpretation but also logical reasoning and the application of advanced concepts. In the AIME 2024 tests (known for assessing mathematical skills at a competitive level) and MATH-500, which brings together an extensive set of questions in algebra, geometry, and combinatorics, DeepSeek R1 demonstrated high accuracy in solving problems and explaining solutions step by step.

• Outperforming O1: According to internal comparisons, R1 showed greater consistency when handling complex algebraic expressions and formal proofs, indicating that its Reinforcement Learning architecture allows it to refine each step of the reasoning process.
• Lower Error Rate: At the end of the test rounds, DeepSeek R1 showed a slightly lower error rate than O1, suggesting a greater ability to “correct its own course” as it works through each question.

This performance reinforces the idea that the model not only understands the natural language in the prompts, but also uses internal mechanisms to validate mathematical solutions before presenting them.

Programming Benchmark: Codeforces & SWE-bench Verified

In a world increasingly driven by software, the ability to understand and generate code is a significant differentiator for AI models. On Codeforces, a competitive programming platform with thousands of problems in various languages, and SWE-bench Verified, which evaluates the quality and functionality of generated code, DeepSeek R1 delivered consistent results and, in some cases, outperformed O1.

• Understanding More Complex Problems: When analyzing questions involving advanced algorithms or intricate data structures, R1 showed greater clarity and fewer “logic bugs” in the resulting code.
• Syntax and Best Practices: In addition to producing functional code, the model followed style conventions more closely aligned with those used by the development community, making the snippets it created easier to read and maintain.

The speed with which DeepSeek R1 suggests solutions also drew attention. Even when faced with lengthy problems, it maintained a competitive response time, making it particularly appealing for prototyping applications and supporting development teams.

General Knowledge Benchmark: GPQA Diamond and MMLU

The ability to answer general questions, which can range from current events to history, is evaluated in benchmarks such as GPQA Diamond (which covers general knowledge and contextual reasoning questions) and MMLU, which focuses on diverse fields such as the humanities and sciences. In these tests, DeepSeek R1 proved especially proficient at:

• Providing Deeper Context: When asked about historical events, scientific concepts, or general knowledge, R1 provided more detailed answers than O1, demonstrating an extensive vocabulary and a greater ability to connect facts.
• Multiple Domains: The model navigated distinct topics effectively, ranging from questions about literature to chemistry problems, without a significant loss of accuracy.

This versatile performance reinforces R1’s goal of being a comprehensive solution for a range of AI needs, allowing it to be used in both educational platforms and customer service applications.

Security and privacy with Kloel AI

As DeepSeek R1 has become more popular, concerns have arisen about data security, especially because the original terms allow customer information to be used for continuous improvement. Kloel AI, however, has developed a robust infrastructure that neutralizes these risks, ensuring that all DeepSeek R1 users can safely and transparently benefit from the model’s potential.

• Local Storage Instead of routing data to Chinese servers, Kloel AI maintains all of its infrastructure in data centers in Brazil, the US, and Europe. This means that, in addition to complying with international data protection laws, we ensure customer information remains in trusted regions, without being transferred to China or any other unauthorized country.
• Compliance with Official Policies At the same time, we strictly follow the security and privacy guidelines stated by DeepSeek itself, as described in the documents at DeepSeekR1.org. However, we reinforce our layers of protection to block any attempt at unauthorized data collection.
• Protection Against Data Reuse Even though DeepSeek’s original policy mentions reusing inputs and outputs for training, Kloel AI does not engage in this practice. Each interaction is isolated and encrypted, so we do not contribute customer information to model training. This ensures the confidentiality and privacy of your operations.
• Advanced Security Protocols and SOC2 Compliance All standards and processes adopted by Kloel AI—from end-to-end encryption to continuous threat monitoring—can be viewed on our portal trust.Kloel AI.com. There, you can find details about regular audits and certifications that ensure data integrity, including compliance with the SOC2 (Service Organization Control 2) standard. This certification, validated by independent audits, confirms that we follow a rigorous set of controls to protect the privacy and security of customer information.

See how to use DeepSeek R1 on Kloel AI

1. Create or access your Kloel AI account If you are not yet a user, sign up here on the official Kloel AI page. If you already have an account, simply log in with your credentials.

2. Access the Kloel AI dashboard Once you’re on the platform, on the home page in the upper-left corner, you’ll find the icon with the available model options. Click “AI Models,” then scroll down to “Deep Reasoning” and select DeepSeek R1 or DeepSeek R1 Small. 

3. Set the context or prompt To start using the model, enter the prompt or description of the problem you want to solve in the text field. This is where you provide the information the AI needs to understand what should be generated or answered.

Kloel AI is proud to be the first Brazilian company to make DeepSeek R1 available with full support in Portuguese, ensuring simple and secure access through its platform. Our infrastructure is fully protected, with no training on or sharing of your information with third parties, including the Chinese manufacturer of the model.  

In short, by choosing DeepSeek R1 on Kloel AI, you maintain full control over your information in an environment that follows internationally recognized protocols. In this way, Kloel AI strengthens its role as the best platform for trying out and using the most advanced AI models, reaffirming its commitment to delivering cutting-edge technology, excellent support, and security at every step of the process.