In early October, we filmed a Q&A session with the founder of Asycd, Temi and this article will cover some of the discussion from that session.

Using AI voice transcription, I present some of the discussion involving Temi and the presenter.

Our fourth, milestone art collection, Winter Collection 2024, seamlessly merges creativity with AI. Featuring innovative abstract visuals and minimal designs like 'CHROMIUM STORM V2,' it honors our distinctive style. Driven by the TEV1 algorithm, each piece evolves from simple prompts into captivating masterpieces

The TEV1 algorithm is a smart tool that turns your ideas into amazing visual images. It connects related concepts, making sure the visuals are consistent and true to your theme. TEV1 keeps getting better by learning from feedback and adjusting what it creates. It’s designed to be both precise and creative, using a lot of training data to perfect its performance.

Learn more about the beauty of systems in practise in this article.

Sleep deprivation has become increasingly common in today's age due to various factors. Extended work hours, increased screen time, and a more prevalent party culture are some of the potential culprits.

One of the lesser-known side effects of prolonged sleep deprivation—typically occurring after around 35 hours—is the onset of vivid out-of-body hallucinations.

In this article, we explore the story of an individual who experienced these hallucinations and attempt to interpret them in our own unique way.

Acceptance empowers creativity by allowing minds to explore new, uncharted territories. High achievers often disregard current constraints, fostering innovation. This enables artists and scientists to break traditional boundaries, uncovering unique ideas.

In this article, we discuss the only approach to unlocking your creativity whether that is for work, personal projects or just general life.

Mastering prompt engineering can elevate your creative projects to new heights. At Asycd, we offer ten crucial tips to refine your AI prompts, enhancing outputs for poetry, marketing copy, and more. From leveraging multiple AI systems to defining clear instructions, these tips will help you become a more productive generative AI user.

The RAG approach enhances an LLM's responses by providing additional context. This significantly improves relevancy and accuracy. However, one of the methods we've been delving into, the LLM-Assisted Multi Query RAG, does have its limitations. Primarily, it's quite token-intensive. Generating multiple queries through an LLM can consume a significant number of tokens, which could be a concern if you're working with a limited API usage budget.

To tackle this, we've been experimenting with different strategies. For instance, dynamic query generation, where the number of queries varies based on the initial input’s complexity, has shown some promise. We're also looking into optimizing embedding retrieval as a way to better manage token usage without sacrificing response quality.

Unlock the secret to a happier life using a surprising AI trick! Asycd reveals how gradient descent, a powerful machine learning tool, can boost your satisfaction in unexpected ways.

Ready to optimize your happiness like a pro? Click to discover how data-driven decisions can transform your daily grind into a journey of constant improvement!