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More from Vicki Boykis
I want to get back into writing more regularly this year, so in light of that, here’s my last year in review. Evaluating LLMs Like many of us in tech, I spent a large portion of 2024 thinking about and working with LLMs, but I was lucky enough to do it for work. I spent the year designing, building, open-sourcing, (and naming! 🐊) an application...
Favorite books of 2024 Like last year, I spent a fair amount of the year reading code and technical books. Every year I have this struggle. There is a lot going on in machine learning and engineering and I need to stay on top of it. Yet, I also need to read fiction because if I only read tech books, they take away my creative energy rather than...
We keep trying to get LLMs to do math. We want them to count the number of “rs” in strawberry, to perform algebraic reasoning, do multiplication, and to solve math theorems. A recent experiment particularly piqued my interest. Researchers used OpenAI’s new 4o model to solve multiplication problems by using the prompt: Calculate the product of x...
In the 1800s, before serfdom was abolished in the Russian empire, landowners paid taxes based on how many serfs they had. A census was conducted every few years by government employees traveling across the empire and doing counts; a manual map-reduce of epic proportions. If a person was dead, it would often be years before the government cleared...
This is a near-transcript of the talk I gave at PyCon Italia 2024 in May in Florence. Introduction Buongiorno PyconIt, grazie per avermi invitata a parlare! Avrei voluta fare tutto il discorso in italiano, ma lo sto ancora imparando. Per adesso posso parlare soltanto di gelato o colori. Perché non so ancora dire, “don’t worry about LLMs”, il...