pages tagged with #llms

guessing games to remember words โ€”โ€”

something iโ€™ve been struggling with personally is how much to offload to llms. on one hand โ€” the technology is fascinating, powerful, and enables me to learn and do more than before. on the other hand โ€”ย it dulls my technical skills and robs me of learning opportunities.

[... 447 more words to read ๐Ÿ““ ]
twelve factor agents โ€”โ€”

this is an interesting piece by Dex Horthy of HumanLoop (an ai startup working in the LLMOps space). it mimics herokus โ€œ12 factors appsโ€ (of which i was honestly unaware of, my inexperience is showing ๐Ÿ™ˆ). i've listed some takeaways below!

[... 785 more words to read ๐Ÿ““ ]
decompiling executables with llms โ€”โ€”

an interesting blogpost by Geoffrey Huntley showing how llms can be used to "decompile" applications with bundled / minified code (and in a following post) they show it can also be done for assembly. i think this is especially interesting (and concerning for the creators) of electron applications, as there's relatively accessible source code in languages and frameworks that llms are actively being trained on, though i imagine there will be a day that most compiled apps can be undone.

[... 358 more words to read ๐Ÿ““ ]

a ux for creation

how can we design better interfaces for llms?

chat interfaces fundamentally limit how i interact with LLMs. theyโ€™re incredibly effective at showing the power of LLMs to a wide audience โ€” specially in the days where agi felt more like fiction than the goal of the tech industry. and for that reason, theyโ€™ve become the de facto standard. but, in my opinion, flaws in their design hold me back from realizing the true creative potential of these models.

[... 874 more words to read ๐Ÿ““ ]
๐Ÿง  2025-02-14