arbfay

3 ms·

1. 1.▲
   by arbfay 1y ago

   Before post-ChatGPT boom, we used to talk of "catastrophic forgetting"... Make sure the new training dataset is "large" by augmenting it with general data (see it as a sample of the original dataset), use PEFT techniques
2. 2.▲
   by arbfay 2y ago

   The only valid argument I see is that some brutalist buildings are historically important and even we don't like them today we should keep some of them for future generations to visit and see what we have tried, and disliked. But to us
3. 3.▲
   Graphcore employees have share value wiped as sale to SoftBank agreed(sifted.eu)

   3 points by arbfay 2y ago|0 comments
4. 4.▲
   by arbfay 2y ago

   Seriously... This is like not trusting the cooking book of an American chef because America has poor food quality. Or British chef in Britain. Individuals' talents are not bound by their countries' failures and successes. And comp
5. 5.▲
   by arbfay 2y ago

   That is not true unfortunately. ML has been around for decades, DL for more than a decade. In 2019, I had to explain to executives that 95% of AI projects fail (based on some other survey), top 1 reason is bad or missing data and top 2 is m
6. 6.▲
   by arbfay 2y ago

   Started a career in ML/AI years before ChatGPT changed everything. At the time, we only used the term AI if we referred more than just machine/deep learning techniques to create models or research something (thinks operations rese