Enjoy unlimited access to Accomplishments.ai without any costs or usage limits.
Designed specifically to help users summarize their accomplishments for annual reviews.
Utilizes OpenAI GPT-3 Turbo with specific prompt engineering for optimal results.
Easily input your accomplishments and receive well-framed outputs with minimal effort.
Encourages users to include metrics and stats for impactful accomplishment summaries.
Contact support easily through our dedicated contact page for any inquiries.
We help Voice AI developers improve their agents. We map caller journeys. We show you where and why callers are dropping off. We provide audio metrics (i.e., latency) and conversational metrics (i.e., query for cases where callers ask for a representative).
Create compelling and professional content in minutes with SuperChat.ai. Whether it's blog posts, email campaigns, or social media posts, our AI-powered templates will help you produce high-quality content at lightning speed.
IMRSIVO is collaborative No Code software for editing web projects powered by Generative AI for the creation of new interactive and immersive content formats.
Dippy brings true AI friends and characters to your Home Screen. Your AI friends know your likes, dislikes, interests, inner thoughts, and encourage you to be the best version of yourself.
Start using AI for your personal tutor instead of cheating. We bridge the gap between education and technology, ensuring that teachers and students have effective and fun learning. Just ask anything!
ChatTTS is a voice generation model on GitHub at 2noise/chattts,Chat TTS is specifically designed for conversational scenarios. It is ideal for applications such as dialogue tasks for large language model assistants, as well as conversational audio and video introductions. The model supports both Chinese and English, demonstrating high quality and naturalness in speech synthesis. This level of performance is achieved through training on approximately 100,000 hours of Chinese and English data. Additionally, the project team plans to open-source a basic model trained with 40,000 hours of data, which will aid the academic and developer communities in further research and development.