by | Mar 2, 2024 | Uncategorized
The growth of Artificial Intelligence (AI), with Transformers leading the charge, ranges from applications in conversational AI to image and video generation. Yet, traditional symbolic planners have held the upper hand in complex decision-making and planning tasks due...
by | Mar 2, 2024 | Uncategorized
In machine learning, the effectiveness of tree ensembles, such as random forests, has long been acknowledged. These ensembles, which pool the predictive power of multiple decision trees, stand out for their remarkable accuracy across various applications. This work,...
by | Mar 2, 2024 | Uncategorized
The emergence of Large Language Models (LLMs) has notably enhanced the domain of computational linguistics, particularly in multi-agent systems. Despite the significant advancements, developing multi-agent applications remains a complex endeavor. This complexity...
by | Mar 2, 2024 | Uncategorized
The advent of transformer architectures has marked a significant milestone, particularly in their application to in-context learning. These models can make predictions based solely on the information presented within the input sequence without explicit parameter...
by | Mar 2, 2024 | Uncategorized
Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. However, there have been certain difficulties in optimizing LLMs for more effective human instruction delivery. While LLMs have shown...
by | Mar 2, 2024 | Uncategorized
Recent advancements in (self) supervised learning models have been driven by empirical scaling laws, where a model’s performance scales with its size. However, such scaling laws have been challenging to establish in reinforcement learning (RL). Unlike supervised...
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