Johannes Hötter

@vietdle I easily waste some of my 25 GPT-4 messages by replying with „Thanks“ to a prompt :D

Am I weird for being polite to ChatGPT saying please and thanks?

Just tried @eraserlabs for the first time. Wow - that is some really awesome stuff! Immediately fell in love with DiagramGPT. I've put in my sqlalchemy model and got a perfect entity relationship diagram.

@ElTimuro @documenso @peer_rich @andreasklinger @thilokonzok @JanOberhauser @Jobvo @lxunos Exciting!! Good luck :)

I am happy to announce, that we closed our angel round for @documenso! I couldn't be more excited to have @peer_rich, @andreasklinger, @thilokonzok, @JanOberhauser, and @Jobvo on board for the wild journey, @lxunos and I are on to make signing open. Glad to have you guys 🚀

Über 8000 Leute haben sich bereits für den neuen Kurs von @johoetter und @christianwrmth eingeschrieben 🎉🥳 Du auch? Am 14. Juni geht es los. Wir freuen uns auf Dich! 👉 open.hpi.de/courses/kizuku… #ChatGPT #KI #AI #DALLE #Midjourney @HPI_DE @HPI_NYC @SAPLearning

If you’re not using custom chatbots for the documentation of your product, you are definitely missing out on one of the best use cases for #LLMs. Check out our latest video to see how it's done in under 20 minutes. Theory and code included. youtu.be/URYPsgVGDRc

@OpenAI would be super helpful if i could take an existing conversation from e.g. GPT-3.5 to GPT-4 in case I'm frustrated with GPT-3.5. My go-to is still GPT-3.5, but it can't solve everything. GPT-4 solves the issues, but often is too slow for me during dev.

— Relatives: You make a lot of money, do ya? — Startup founder:

Oops haven't tweeted too much recently; I'm mostly watching with interest the open source LLM ecosystem experiencing early signs of a cambrian explosion. Roughly speaking the story as of now: 1. Pretraining LLM base models remains very expensive. Think: supercomputer + months. 2. But finetuning LLMs is turning out to be very cheap and effective due to recent PEFT (parameter efficient training) techniques that work surprisingly well, e.g. LoRA / LLaMA-Adapter, and other awesome work, e.g. low precision as in bitsandbytes library. Think: few GPUs + day, even for very large models. 3. Therefore, the cambrian explosion, which requires wide reach and a lot of experimentation, is quite tractable due to (2), but only conditioned on (1). 4. The de facto OG release of (1) was Facebook's sorry Meta's LLaMA release - a very well executed high quality series of models from 7B all the way to 65B, trained nice and long, correctly ignoring the "Chinchilla trap". But LLaMA weights are research-only, been locked down behind forms, but have also awkwardly leaked all over the place... it's a bit messy. 5. In absence of an available and permissive (1), (2) cannot fully proceed. So there are a number of efforts on (1), under the banner "LLaMA but actually open", with e.g. current models from @togethercompute, @MosaicML ~matching the performance of the smallest (7B) LLaMA model, and @AiEleuther , @StabilityAI nearby. For now, things are moving along (e.g. see the 10 chat finetuned models released last ~week, and projects like llama.cpp and friends) but a bit awkwardly due to LLaMA weights being open but not really but still. And most interestingly, a lot of questions of intuition remain to be resolved, e.g. especially around how well finetuned model work in practice, even at smaller scales.

that moment when you waste one of your 25 GPT-4 messages per 3 hours by replying with "thanks" to a response...

This AutoGPT thing is just too powerful. Task list: 1. Make a todo list. Next task. 1. Make a todo list

@JeroenReumkens Reall good improvements!

Okay — I think I made quite some progress in the way my videos look in the past few videos (3 months time between these two videos) 😅 Feeling a bit proud of myself! Next week already uploading video number 25 to frontend.fyi 🔥

With StableLM initial release (@EMostaque et al. thanks for sharing 🙏), i think we're at the inflection point on that graph from @abidlabs which i love so much:

@jonathimer Well deserved!! ❤️

we did it 🤠 mobile.twitter.com/CrowdDotDev/st…

Does anyone want to help us crack 500⭐️ ? github.com/CrowdDotDev/cr…

@SaidHaschemi But come on, I mean it has galaxy brain math shit. That is highly defensible IP. 35mil is a no-brainer.

Current state of AI

This is not BloombergGPT but our own AskOBB which allows users to interact with the OpenBB Terminal through natural language. i.e. an open source BloombergGPT. Still early days, but I'm excited. Strap in.

🔥EVERYONE🔥We’re excited to announce the release of OpenAssistant. The future of AI development depends heavily on high quality datasets and models being made publicly available, and that’s exactly what this project does. Watch the annoucement video: youtu.be/ddG2fM9i4Kk

“Give me one example of where NNs outperform GBTs on tabular data. Just one example.”

I tried an AI profile picture maker so you don't have to 😂 $9 well spent

Free Dolly! Introducing the first *commercially viable*, open source, instruction-following LLM. Dolly 2.0 is available for commercial applications without having to pay for API access or sharing data with 3rd parties. bit.ly/43oXmsy

Event season is about to start! In April you will find us at these events: #FintechWorld (Berlin, 18th - 19th) #PyCon (Berlin, 19th) #LogiMAT (Stuttgart, 25th) #InsureNXT (Cologne, 26th - 27th) Come and say hi, we'll be well-equipped with some stickers 😉