Results 101 to 110 of about 56,942 (277)
Prompt Engineering Guide: Animation & Game ArtRussell [PDF]
Prompt engineering guide for animation and game art.
Smith, Russell
core +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Optimizing Large Language Models: A Deep Dive into Effective Prompt Engineering Techniques
Recent advancements in Natural Language Processing (NLP) technologies have been driven at an unprecedented pace by the development of Large Language Models (LLMs).
Minjun Son, Yun-Jae Won, Sungjin Lee
doaj +1 more source
Green Prompt Engineering: Investigating the Energy Impact of Prompt Design in Software Engineering
Language Models are increasingly applied in software engineering, yet their inference raises growing environmental concerns. Prior work has examined hardware choices and prompt length, but little attention has been paid to linguistic complexity as a sustainability factor.
Vincenzo De Martino +3 more
openaire +2 more sources
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Prompt Engineering 101 for Educators [PDF]
In the ever-evolving realm of higher education, the art and science of crafting questions—known as “prompt engineering”—is emerging as a cornerstone of effective teaching.
Hazrul, Mohamed Basri, Kasumawati, Lias
core
The Impact of Prompting Techniques on the Security of the LLMs and the Systems to Which They Belong
Large language models have demonstrated impressive capabilities. The recent research conducted in the field of prompt engineering showed that their base performance is just a glimpse of their full abilities.
Teodor Ivănușcă, Cosmin-Iulian Irimia
doaj +1 more source
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat +8 more
wiley +1 more source
ChatGPT, a widely used Large Language Model (LLM), enhances productivity in various sectors, including education. However, its extensive usage often lacks proficiency in writing effective prompts, resulting in less optimal, biased, and hallucinated ...
Setio Basuki +5 more
doaj +1 more source
From Prompt Engineering to Prompt Science with Humans in the Loop
Can prompt engineering be made more reliable, verifiable, and generalizable?
openaire +2 more sources

