I made a short video version of the bigram language model article.
The goal was to explain the intuition visually:
- how emma becomes .e, em, mm, ma, a.
- how counts become probabilities
- how this connects to a tiny neural net
Starting small before going deeper into LLMs
What to expect at The Terminal:
Because squinting at a 1-minute candle isn’t technical analysis.
📈 Second-level charts (1S, 5S, 15S, 30S)
🫧 Every trade overlaid on the chart
🎯 Sniper clusters
🐋 Whale entries
⚡ Live trade feed
The chart finally tells the whole story.
Back in 2020, I was learning Deep Learning through @jeremyphoward's https://t.co/I9bXFjwwvD course and started writing Medium articles to explain what I was learning.
Then I stopped.
Recently checked Medium again and saw one of those articles crossed 20K views and 10.3K reads.
That felt good :)
Now I’m starting again, this time with LLMs.
I recently started @karpathy's makemore video and wrote a new article on building a character-level bigram language model from scratch.
Learning by building.
Writing to understand.
Article link: https://t.co/wYkjroYVWO
We became #1 Product of the Day on @ProductHunt.
Thanks everyone for the support.
Lot of people say PH is dead, from my personal experience of launching twice, we got:
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