Ongoing pre-training when fine-tuning a foundation model (FM) allows the model to continue learning and adapting to new data or evolving contexts. As new data becomes available, the model can be pre-trained on this additional data, improving its ability to handle specific tasks, making it more effective and accurate over time.
Ongoing pre-training helps the model continuously learn and improve its performance over time. This is the whole point of fine-tuning a foundation model
upvoted 1 times
...
Log in to ExamTopics
Sign in:
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
Jessiii
2 weeks, 6 days agomay2021_r
2 months agoAmitst
2 months, 4 weeks ago