OpenAI starts offering a biology-tuned LLM

On Thursday, OpenAI announced it had developed a large language model specifically trained on common biology workflows.
Nature

AI models ‘subliminally’ transmit biases when training other systems

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
IEEE

Adaptive Influence Regularization: Controlling Cross-Example Learning Dynamics for Robust LLM Fine-Tuning

Abstract: While traditional fine-tuning approaches are very successful in adapting the pre-trained knowledge contained within LLMs to novel domains, they are prone to instability because of the noisy ...
IEEE

Physically Constrained Adversarial Examples for Fine-Tuning Trajectory Classifiers

Abstract: We investigate whether physically constrained, synthetically generated adversarial trajectories can improve both the robustness and generalization of sequence classifiers in data-limited ...
GitHub

fine-tuning_galaxy.yaml

img_root: "../galaxyzoo/gz2/images_well-sampled_balanced_shuffled+dustlane" # dataset img path caption_file: "../galaxyzoo/gz2/tags_well-sampled_balanced_shuffled ...
GitHub

kurhula/arnobt78_Vehicle-Routing-Problem-Time-Windows-Solver-Comparison--VRPTW-Python-React

Run and benchmark metaheuristic algorithms HGS, ACO, SA, GLS (v0.6.3) & ILS (v0.13+), visualize routes, tune parameters, and explore Solomon benchmark datasets—with an optional AI-assisted RAG Q&A and ...