Table-GPT: Table-tuned GPT for Diverse Table Tasks Training AI to be better at working with tabular data.
GameGPT: Using AI to Automate Game Development A proposed multi-agent approach to AI-driven game development. Does it really work?
UC Berkeley unveils MemGPT: Applying OS architecture to LLMs for unlimited context Combining an OS-inspired architecture with an LLM for unbounded context via memory paging
Lemur: Training Language Models to Be Better Coding Agents A new model combines language and code abilities into a single system to create a better coding agent.
Researchers Discover Emergent Linear Structures in How LLMs Represent Truth LLMs contain a specific "truth direction" denoting factual truth values.
Tsinghua University: Inverting Transformers Significantly Improves Time Series Forecasting Inverting Transformer architecture for time series forecasting improves performance
ALMT: Using text to narrow focus in multimodal sentiment analysis improves performance A new way to filter multimodal data for sentiment analysis using text guidance improves performance