Part 13/15:
Looking ahead, AI research aims to enhance reasoning capabilities via prompt engineering and thought trajectories, teaching models to generate multiple reasoning steps before answering. Integrating symbolic reasoning with neural models—exemplified by projects like Alpha Geometry—aims to combine the best of both worlds.
Another frontier is multimodal AI: systems like CLIP and DALL-E demonstrate how language and vision can be combined, enabling models to understand and generate across modalities.
Furthermore, the community is exploring brain-inspired paradigms, such as model merging, weight editing, and adapters, to interpret and manipulate neural networks at a new level.