Validate the performance of your AI model by evaluating how it performs on a separate and often more complex dataset not used during the training process. This step will aid in revealing ...

Have you ever found yourself deep in the weeds of training a language model, wishing for a simpler way to make sense of its learning process? If you’ve struggled with the complexity of ...

a novel educational LLM that addresses these limitations by incorporating educational theories and knowledge into its training process. WisdomBot employs Bloom's Taxonomy to guide the acquisition ...

If not, don’t sweat it - just like retaking a tricky test, you may need to revisit some parts of the training process. Keeping the model sharp requires constant check-ups, especially when it ...

Each AI model is different when it comes to its training process. Some want to keep your data entirely separate, while others make use of your data to improve a variety of functions in the model.

the study implies that great care should be taken in selecting data fed into a model during the pre-training process. It also reinforces that weird things can happen inside the "black box" of an ...

The focus of Ai2’s Tulu initiative is post-training — the process of refining a language model after the initial training process to enhance its capabilities and make it suitable for specific ...