In recent years, artificial intelligence has been shaped by the race to build ever larger models. Each new release has been measured by the number of parameters, the size of the training data, and the ...
Thanks to MCP, an AI agent can perform tasks like reading local files, querying databases or accessing networks, then return the results for further processing. It’s forming the backbone of modern AI ...
Is human intelligence really computational intelligence? Not merely a metaphor, but one and the same. A talk at Harvard's ...
RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
Bigger models, more parameters, higher benchmarks. There is often a fixation on scale in the discourse around AI, making it easy to assume that the bigger a Large Language Model (LLM) is, the better ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results