Frank Marcoux

Founder @hlr_newsletter. Master student in AI @UQAM.

[Frank Marcoux @FrankHMarcoux]

@sama Follow us for updates on these new releases and our coverage of each. Daily!

https://t.co/a5JYAQxuaj

[Frank Marcoux @FrankHMarcoux]

@sama Get your stamp ready for 12 days of OpenAI Bingo!

[Frank Marcoux @FrankHMarcoux]

Fast iteration and templating are the reasons why people say they 10X.

[Frank Marcoux @FrankHMarcoux]

Devin is not a great example of how to use LLM in programming. Human input (detailing requirements) + LLM is the way to go.

[Frank Marcoux @FrankHMarcoux]

Can someone tell me why experienced developers refuse to even try programming with an LLM?

[High Learning Rate Newsletter @hlr_newsletter]

Good morning everyone! This one might save you a lot of time and money.

Today, we're writing about an important topic: the privacy concern with large language models (LLMs). Many clients take overkill solutions for privacy concerns.

Read more:
https://t.co/WnozZPrVnU

[Frank Marcoux @FrankHMarcoux]

Since everything in life can be represented by a function, the model can learn whatever you want to, explaining why models get bigger and bigger, and will keep doing so.

[Frank Marcoux @FrankHMarcoux]

Why?

Companies like @OpenAI follow the Universal Approximation Theorem. This theorem proves that with an infinite-size model, you can fit every possible function.

[Frank Marcoux @FrankHMarcoux]

LLMs have more weights than @elonmusk has money.