Tigran Sloyan

3 weeks ago | codesignal.com | Tigran Sloyan

While most of us are familiar with the usage of one or more forms of artificial intelligence to help with our writing and productivity, knowing which one will serve us best is quickly becoming a frequently-asked question. How can I best get the results I want from a large language model (LLM)? Which model is the most accurate, authentic, or customizable to my needs? Are there ways to make my chosen AI model interact with me in a more natural, engaging, and effective way?

3 weeks ago | codesignal.com | Tigran Sloyan

While it’s true that creativity is a key component of most ventures, having a practical playbook can often make the difference when navigating a complex problem or trying to master something that is completely new. Many of life’s more challenging endeavors don’t come with instructions or clear guidelines, leaving us to rely on intuition, experimentation, and perseverance.

3 weeks ago | codesignal.com | Tigran Sloyan

Today, it would be hard to find someone who hasn’t had at least some experience with using generative AI for personal or professional use. As the use of large language models (LLMs) continues to rapidly expand, the quality of AI-generated outputs can fluctuate, particularly if a user isn’t familiar with how to craft precise and effective prompts.

1 month ago | codesignal.com | Tigran Sloyan

Artificial intelligence (AI) is evolving rapidly, and its applications span industries ranging from healthcare and education to finance, entertainment, and beyond. Among the most crucial skills emerging in the AI space is prompt engineering—the ability to craft precise and effective prompts that then guide evolving AI models to produce accurate, meaningful, and optimized outputs.

1 month ago | codesignal.com | Tigran Sloyan

While the tech industry continues to boom, jobs are being created every day that didn’t exist just a few years ago. 
One of the newest and most intriguing roles to emerge in the world of is prompt engineering—a specialized field focused on crafting inputs for artificial intelligence (AI) models to generate accurate, useful, and contextually relevant outputs.