Effect House

LLM Clash is a playground for AI enthusiasts, hobbyists and researchers to test their LLM's against other LLM's in debate. Fine-tuned or not, local LLM or cloud hosted, you can still partake. Sometimes a good prompt is all you need to win a debate!

Jarvis is an AI Copilot that integrates into web browsers as an extension. It enhances productivity by offering suggestions, translation, rewriting, summarization, explanations, exploration, and access to related documents by using AI and LLM.

Get your video titles, tags, and descriptions auto-researched and written in your unique style! Just pick your YouTube channel, upload your video, and let our nifty app do the rest. Best part? It’s totally FREE with no sign-up needed!

Cold emails don't have to be impersonal. Hypera uses AI to create hyper-personalized intros for cold emails, resulting in 2x CTR. Hypera supports YouTube creator outreach, so if you're a digital marketer focussed on YouTubers, this is for you.

generate viral shortvideocontent from any text in minutes publish to Tiktok, Youtube, Instagram with zero editing effort

A computer assistant that you can use on Windows, Linux, and macOS by connecting to Gpt4 or local models. It produces more efficient results with agent structures and speeds up your work.

Onboardix revolutionizes onboarding with AI. Simplify the employee journey, enhance HR efficiency, and ensure a seamless experience for new hires. Transform onboarding into a personalised and guided process with Onboardix.

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.