DeepSeek-R1
DeepSeek-R1 is a reasoning model trained via large-scale reinforcement learning (RL) without the need for supervised fine-tuning (SFT). It demonstrates remarkable performance in reasoning tasks, including self-verification and reflection. The model addresses challenges such as endless repetition and poor readability, and achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.
Szczegółowe wprowadzenie
DeepSeek-R1 is an advanced reasoning model that leverages large-scale reinforcement learning to achieve significant performance in reasoning tasks. It incorporates cold-start data before RL to enhance reasoning capabilities and address issues like repetition and readability. DeepSeek-R1 is designed to provide high accuracy in reasoning tasks and is suitable for a wide range of applications.
WięcejSztuczna inteligencja
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.
LifeHack - Get the most out of life. Fast.
From Questions To Actions Transform your mindset and achieve your goals with the Lifehack App. Access AI and human coaching, reflection tools, and a LifeHack empowers time-strapped individuals to boost productivity, transform their mindset, achieve goals, and gain more time for what truly matters.
Mind Tracker
Mood journal. The application shows analytics on your well-being. Mind Tracker is a mood journal application that helps users track and analyze their well-being through mood tracking, statistics, and event correlation.