Genetic Programming and Evolvable Machines (2024) 25:21 https://doi.org/10.1007/s10710-024-09494-2 Evolving code with a large language model Erik Hemberg1 · Stephen Moskal1 · Una‑May O'Reilly1 Received: 17 November 2023 / Revised: 4 June 2024 / Accepted: 6 August ...
GESAL offers a scalable, efficient solution for real-time LLM adaptation, with potential to revolutionize personalized AI. 8. References Hu et al., "LoRA: Low-Rank Adaptation of Large Language Models," 2021. Sun et al., "Transformer²: Self-Adaptive LLMs," ICLR 2025. Williams, "Simple ...
Therefore, we conducted a large amount of work in verifying the Hong Kong-specific data, as well as proofreading tens of thousands of relevant test cases.” With these complexities in mind, SRC-G and SRC-B worked together to support a deep code mix using a mixture of Cantonese and ...
In the rapidly evolving world of technology, the use of Large Language Models (LLMs) and Generative AI (GAI) in applications has become increasingly prevalent. While these models offer incredible benefits in terms of automation and efficiency, they also present unique security challenges. The Open...
Large language models (LLMs)are being integrated into various stages of the development pipeline.These models are transforming workflows by driving intelligent non-player characters (NPCs), assisting with code generation, and minimizing the time spent on repetitive tasks. However, the effectiveness ...
Large Language Models (LLMs) have demonstrated exceptional universal aptitude as few/zero-shot learners for numerous tasks, owing to their pre-training on extensive text data. Among these LLMs, GPT-3 stands out as a prominent model with significant capabilities. Additionally, variants of GPT-3,...
We are open sourcing the PromptWizard codebase (opens in new tab) to foster collaboration and innovation within the research and development community. Introducing PromptWizard PromptWizard (PW) is designed to automate and simplify prompt optimization. It combines iterative ...
The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have derived natural laws by manipulating equations based on existing knowledge, forming new equations, and verifying them experim...
We explore an evolutionary search strategy for scaling inference time compute in Large Language Models. The proposed approach, Mind Evolution, uses a language model to generate, recombine and refine candidate responses. The proposed approach avoids the need to formalize the underlying inference problem ...
As large language models (LLMs) increasingly shape the AI landscape, fine-tuning pretrained models has become more popular than in the pre-LLM era for achieving optimal performance in domain-specific tasks. However, pretrained LLMs such as ChatGPT are periodically evolved, i.e., model parameters...