Graph Reasoning Evolution
Exciting advancements are underway in the integration of graph reasoning with the generative AI landscape. By enhancing LLMs with graph-based reasoning during training, the potential to tackle a wide array of problems increases significantly. Additionally, there's a push towards making graph models more agent-like, allowing for improved problem-solving capabilities through innovative prompt structuring and tool integration.In this clip
From this podcast
Data Skeptic
Graphs for HPC and LLMs
Related Questions
What will be the next development in AI, specifically regarding large language models and their reasoning ability, as discussed in the episode The Future of Machine Learning, Deep Learning and Computer Vision with Thomas Dietterich and the clip Optimizing Problem Formulation? Will the improvement of reasoning ability provide more help in the next step?
What will be the next development in AI, specifically regarding large language models and their reasoning ability, as discussed in the episode The Future of Machine Learning, Deep Learning and Computer Vision with Thomas Dietterich and the clip Optimizing Problem Formulation? Will the improvement of reasoning ability provide more help in the next step?