TL;DR: I built a fun and flamboyant GPT stylist named Glitter—and by chance discovered a sandbox for studying LLM behavior. From hallucinated high heels to prompting rituals and emotional mirroring, here’s what I learned...
In partnership with Good morning. It’s Friday, February seventh.Did you realize: On at the present time in 1984, astronauts Bruce McCandless II and Robert L. Stewart conducted the primary untethered spacewalk...
Can we teach machines to think like humans?Without cognitive prompting, the larger model scored about 87% on the maths problems. Once we added deterministic cognitive prompting (where the model followed a hard and fast...
Good morning. It’s Monday, April ninth.Did you recognize: On at the present time in 1995, the Sony PlayStation was introduced in North America? Anthropic AI’s Prompting Suggestions GPT-Next Dates...
Because the capabilities of huge language models (LLMs) proceed to expand, developing robust AI systems that leverage their potential has turn out to be increasingly complex. Conventional approaches often involve intricate prompting techniques, data...
The method begins with scaffolding the autonomous agents using Autogen, a tool that simplifies the creation and orchestration of those digital personas. We will install the autogen pypi package using pypip install pyautogenFormat the...
Large language models (LLMs) demonstrated impressive few-shot learning capabilities, rapidly adapting to latest tasks with only a handful of examples.Nonetheless, despite their advances, LLMs still face limitations in complex reasoning involving chaotic contexts overloaded...
IntroductionPrompt engineering focuses on devising effective prompts to guide Large Language Models (LLMs) similar to GPT-4 in generating desired responses. A well-crafted prompt might be the difference between a vague or inaccurate answer and...