I'm curious why we seem convinced that this is a task that is possible or something worthy of investigation.
I've worked on language models since 2018, even then it was obvious why language was a usef...
Similar Articles (10 found)
🔍 74.3% similar
The author makes a call out to the online book Forecasting: Principles and Practice which is a great reference when conducting time series analyses. h...
🔍 73.9% similar
First, thanks to the publisher and authors for making this freely available!
I retired recently after using neural networks since the 1980s. I still s...
🔍 72.6% similar
> the generation of 281,128 augmented examples, from which 1,000 were
held out as a benchmark test set.
This model is trained on a custom dataset of 2...
🔍 72.4% similar
For some reason they focus on the inference, which is the computationally cheap part. If you're working on ML (as opposed to deploying someone else's ...
🔍 69.3% similar
What happens when coding agents stop feeling like dialup?
It's funny how quickly humans adjust to new technology. Only a few months ago Claude Code an...
🔍 68.6% similar
Writing an LLM from scratch, part 22 -- finally training our LLM!
This post wraps up my notes on chapter 5 of Sebastian Raschka's book "Build a Large ...
🔍 68.1% similar
What is a good algorithm-to-purpose map for ML beginners? Looking for something like "Algo X is good for making predictions when your data looks like ...
🔍 67.8% similar
The Bitter Lesson is Misunderstood
Together, the Bitter Lesson and Scaling Laws reveal that the god of Compute we worship is yoked to an even greater ...
🔍 67.7% similar
Why AI Development May Soon Escape Human Control?
A Technical Analysis of AI Development Through 2027
Where This is All Heading (tl;dr)
After absorbin...
🔍 67.6% similar
Does the Bitter Lesson Have Limits?
Recently, “the bitter lesson” is having a moment. Coined in an essay by Rich Sutton, the bitter lesson is that, “g...