We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
@DanReese21@TylerPurcell24 Worked on this problem very intimately for many years.
Auto dosing is definitely a net positive but the systems result in high upfront investment and ongoing maintenance costs. Would love to chat to see what you guys are doing 🙂
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#UPDATE General Motors withdrew Monday from a challenge to California's fuel economy rules that had been backed by Donald Trump's administration and endorsed President-Elect Joe Biden's policy for boosting the use of electric autos https://t.co/s3BaL3F2Ql
Robert Smith, the billionaire who said he'd pay off the debt of Morehouse students, admitted to an illegal scheme to evade taxes by using offshore bank accounts.
He will pay back $139m in taxes in penalties, and agreed to abandon $182m in charitable contribution deductions.