Large Pre-trained Language Models Tackle Biological Inference for Rare Tissues with Limited Data
CancerGPT, a few-shot learning approach, uses LLMs to predict drug pair synergy...
Behavior Expectation Bounds Framework Reveals Fundamental Challenges in AI Safety
Behavior Expectation Bounds (BEB) framework introduced to investigate inherent characteristics and limitations of alignment in...
Exploring the extraordinary capabilities and potential of next-generation AI systems
In the new paper Sparks of Artificial General Intelligence: Early experiments with GPT-4, researchers investigate...
Stratified Evaluation Offers Deeper Insights into LLM Performance and Guides Model Improvement
A recent research paper by Patrik Puchert, Poonam Poonam, Christian van Onzenoodt, and...
Unraveling the Mysteries of Large Language Models
The field of AI has made significant strides in recent years, particularly in the realm of natural language...
Researchers investigate the vulnerability of AI-generated text detectors and call for a more honest conversation about the ethical use of large language models.
The rapid...