DeepSeek-V3 is a powerful Mixture-of-Experts (MoE) language model with 671 billion total parameters and 37 billion activated parameters per token. It achieves efficient inference and cost-effective training through innovative load balancing strategies and multi-token prediction training objectives. The model is pre-trained on 14.8 trillion diverse and high-quality tokens, and it outperforms other open-source models in various benchmarks.
DeepSeek-V3 is a cutting-edge AI model that has achieved a notable breakthrough in inference speed, making it one of the fastest models available. It excels in multiple benchmarks, including language understanding, code generation, and mathematical problem-solving. DeepSeek's architecture, which includes Mixture of Experts (MoE), allows it to activate a subset of parameters efficiently, enhancing its performance while maintaining a large total parameter count. This model is designed to provide high accuracy and efficiency, making it suitable for a wide range of applications.
Meet Claude, an advanced AI assistant designed to help you brainstorm, analyze, and create with ease. Whether you're working solo or collaborating with a team, Claude provides the support you need to elevate your projects.
The Emotional First Aid Dataset is a comprehensive Chinese psychological counseling QA corpus, featuring 20,000 multi-turn dialogues. It is designed to support the development of AI applications in the field of psychological counseling and is available for research purposes.
This dataset contains 20,000 labelled English tweets of depressed and non-depressed users. The data is collected using the Twitter API and includes feature extraction techniques such as topic modelling and emoji sentiment analysis. It is designed for mental health classification at the tweet level.