Cross-encoders offer a powerful lens into the semantics of dialogue. By jointly analyzing user queries and conversation history, they surpass basic similarity methods to reason about intent, entailment, and contextual nuance.

In our work at Asycd, they serve as the final arbiter for query-to-context alignment—elevating response precision and conversational depth. This architectural choice is central to building systems that understand not just what was said, but what was meant.

Welcome TEV2!

Introducing TEV2: the next leap in creative intelligence from Asycd. Building on the success of TEV1, TEV2 isn’t just an update—it’s a transformation. Imagine generating artwork that doesn’t simply match your prompt, but truly understands its nuance. TEV2 dives deeper: it interprets layers of meaning, context, and emotion to produce images that feel both surprising and unmistakably yours. With a re-engineered prompt engine, TEV2 translates even the vaguest concept into distinctive, high-resolution visuals. Artists, designers, and storytellers can now explore new thematic depths, unlocking a gallery of stunning compositions with every click. The real magic? TEV2 remembers your style and preferences, evolving with you for more cohesive and personalized output each time you create. TEV2 isn’t just a tool—it’s a creative collaborator.

Ever wondered how punctuation and word placement shape AI-generated responses? In this article, we explore the hidden mechanics behind prompt engineering, revealing how subtle tweaks—like commas and phrase order—can dramatically alter AI outputs.

Our latest research dives into practical demonstrations using AI art, showing how strategic prompt structuring enhances creativity and precision. Discover how to refine your prompts for more creative outputs.

Asycd is excited to share our latest innovations for Spring 2025, showcasing the breathtaking 'Summere' Art Collection alongside the transformative features of TEV2, our AI artwork generator app.

We also go through some recent events, research and unreleased digital art created so far this year.

Inference-only compute is revolutionizing AI economics by letting users pay only for the compute used during inference, eliminating costs for idle resources.

Platforms like Modal dynamically allocate GPUs for precise, real-time usage, enabling startups to experiment freely, scale efficiently, and optimize budgets.

This groundbreaking approach empowers businesses to innovate faster without the financial burden of traditional per-hour billing models, unleashing the true potential of AI-driven applications.

Integrating timestamped embeddings into our AI systems reflects our commitment to capturing the temporal nuances of data, significantly enhancing relevance and precision. By embedding timestamps, we ensure our AI retrieves contextually accurate information, crucial for dynamic sectors like finance and technology.

This approach allows us to finely tune data interaction and tailor responses, reflecting a deeper understanding of evolving trends and user needs. Our methods encompass seamless Python implementation to maintain cutting-edge relevance in data retrieval.

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.

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!

Find out about the latest that has been going on at Asycd.

Covered Topics:

• Our New Software Development Services

• 10K Milestone on Medium Blog

• New Canvas Prints

• Asyra AI Chatbot