STORM
STORM is a research project from the Stanford OVAL lab. It is designed to help users create documents by searching for information and integrating it into text. The tool is still under development and may generate offensive content or make mistakes.
Giới Thiệu Chi Tiết
STORM is an AI document creation tool developed by the Stanford OVAL lab. It assists users in writing documents by searching for relevant information and incorporating it into the text. Users can input a title and specify the type of document they want to create. STORM then searches for information, integrates it into the document, and allows users to edit and refine the content. The tool is intended for research purposes and is still in the preview stage. It has limited safety measures and may generate offensive content or make mistakes. Users are advised to always check important information and not to include personally identifiable information in their inputs.
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Hugging Face Dataset - NamelessAI Helply
This paper discusses Helply - a synthesized ML training dataset focused on psychology and therapy, created by Alex Scott and published by NamelessAI. The dataset developed by Alex Scott is a comprehensive collection of synthesized data designed to train LLMs in understanding psychological and therapeutic contexts. This dataset aims to simulate real-world interactions between therapists and patients, enabling ML models to learn from a wide range of scenarios and therapeutic techniques.
DeepSeek-V3
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.
Mental Health in Tech Survey
This dataset contains survey responses from individuals in the tech industry about their mental health, including questions about treatment, workplace resources, and attitudes towards discussing mental health in the workplace. By analyzing this dataset, we can better understand how prevalent mental health issues are among those who work in the tech sector—and what kinds of resources they rely upon to find help—so that more can be done to create a healthier working environment for all.