This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
Digital Journal

The pitfalls of prompt overloading: Why more tokens mean less accuracy in LLMs

Opinions expressed by Digital Journal contributors are their own. As LLMs like OpenAI’s GPT-4 continue to showcase remarkable abilities in generating human-like text, recent research has shed light on ...

How AI Models Generate Text : Explained In Simple Terms from Prompt to Reply

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...
Forbes

Beyond Prompt Engineering: The Rise Of Cost-Effective Context Engineering

Sr. Director of Product at Aisera, Jigar brings 15+ years in enterprise AI, GenAI innovation, agentic automation and product-led growth. Enterprise AI is in the midst of a fundamental shift. The early ...