$𝟭𝟱𝟬,𝟬𝟬𝟬 𝗶𝗻 𝗚𝗿𝗮𝗻𝘁𝘀 𝘁𝗼 𝗨𝘁𝗶𝗹𝗶𝘇𝗲 𝗟𝗟𝗠𝘀 𝗳𝗼𝗿 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝘄𝗶𝘁𝗵𝗶𝗻 𝗠𝗢𝗦𝗘𝗦

Explore the integration of LLMs into the MOSES (Meta-Optimizing Semantic Evolutionary Search) evolutionary algorithm.

Researchers can pursue one of several approaches, including generation modeling, fitness function learning, fitness estimation, investigation into domain-independent “cognitively motivated” fitness functions, or propose innovative ways to leverage LLMs to enhance MOSES's capabilities within the OpenCog Hyperon framework.

Learn more and apply today at https://bit.ly/LLM-MOSES-RFP