Learn to Spell: Prompt Engineering (LLM Bootcamp)

I am impressed by how great of a teacher Charles Frye is! The content is very informative and easy to comprehend. Thank you very much!

[@charles_irl]

Thanks for the kind words!

[@ronaldokun]

Second it!

[@oleksandrasaskia]

I love this talk! So easy to follow, so fun, with humor, and I especially appreciate down-to-earth explanations and parallels.

[@edwardsmarcom]

This is great. His voice and intonation sounds just like comedian David Cross.

[@Zoronoa01]

Very interesting lecture!

[@arvj123]

I can't believe this is for free. Thank you. I probably need to watch this video one more time to get a better understanding. Some information just breezed past my head. :D

[@mydaisy2]

What a valuable video it is.. thanks for sharing your knowledge... :)

[@Zoronoa01]

around 1:00 you talked about a lecture you did in the morning, is there a video of that lecture?

[@agenticmark]

Prompts are certainly magic incantations. The difference between the new wizard and the old wizard is the ability to say the spell correctly :D Prompting is very much like hacking out programs. The more you have a "conversation" with your code/tools, the better your results are. The more you have a conversation with GPT, the more that "clicks" and your prompts get better which leads to the models giving you better results! I find my lack of higher maths to be a boon in prompt engineering because I make less assumptions not based on the responses of my experiments and journey. Great talk!

[@ayanghosh8226]

Awesome explanation. Love it!

[@RK-fr4qf]

Very good presentation

[@jtprado]

Great content, man!

[@ArtOfTheProblem]

Really great lessons I'm impressed, would love to work with you

[@zacboyles1396]

19:00 - at what point does eliminating the “undesirable social biases” make the model seem ignorant? Worse than that, it seems dangerous to get into a habit of hiding probabilistic realities that cause some to feel uncomfortable instead of unleashing bright minds to create solutions for them - assuming the ‘afflicted’ desire a solution in the first place. Sure, some tennis shoe customer service chat bot doesn’t matter but it’s not going to stop there.

[@charles_irl]

In the context of the lecture, the intent there is just to present the "don't be biased" instruction prompt as an example of the use of the "Literally Just Ask, Bro" Pattern™. I chose that example to try and make it clear that you can "just ask" for fairly complex behavior and get it. Steering model behavior requires choices throughout the stack, from pretraining and finetuning to prompting and monitoring. It is a really hard problem, and a simple approach like a one-line prompt hack is far from solving it!

[@ram-my6fl]

utter BS

[@theoqudatq2150]

Not a very useful presentation. I learnt nothing new. No "magic" recipe.