Secure, Compliant Access to DeepSeek LLMs

DeepSeek is an AI research lab specializing in large language models (LLMs). Since DeepSeek is built on incredibly cheap hardware, it’s become a highly cost efficient alternative to AI assistants like OpenAI’s GPT.

What sets DeepSeek-R1 apart is it is solely trained on reinforcement learning making its reasoning abilities superior to other LLMs. They further implemented multi-stage training with minimal supervised data to enhance reasoning. Their models are cheaper as the knowledge distillation from larger models outmatched smaller ones trained directly on reinforcement training.

Basically, they skipped the massive Critic Model in Proximal Policy Optimization (PPO) and used Group Relative Policy Optimization (GRPO) to normalize rewards within a batch, saving them a lot of compute.

They record your IP addresses, sensitive information and save it on servers located in China.

DeepSeek’s policies clearly state that they retain user data even after an account is deleted. It also has the right to use your sensitive data for training their models and can update their policies without consent.

Wald uses advanced sanitization capabilities to remove sensitive data from a prompt before it interacts with DeepSeek. It also retains the semantic integrity of data to keep the essence of your data intact. RAG frameworks help in maintaining the accuracy of such redacted information. With end-to-end encryption and complete identity protection, Wald successfully provides safe access to multiple AI assistants such as DeepSeek, ChatGPT, Claude and more.

DeepSeek excels in technical tasks (coding, math) and efficiency, leveraging specialized training for faster, cost-effective performance. ChatGPT (GPT-4) prioritizes versatility, creativity, and broad conversational depth. Choose DeepSeek for technical precision and ChatGPT for general-purpose interactions.

Given its Chinese origins, some may worry about data governance and whether information processed by the model is subject to government oversight. If DeepSeek is used for AI-driven applications that handle sensitive information, there could be risks of data leakage if not implemented securely. Best practices involve refraining from putting sensitive information in an AI assistant, you can also explore using Wald for securing your conversations with multiple AI assistants.