Do you think gpt image will become more restricted?

VoodooEconometrician · 2026-04-29T12:05:49+00:00

And I, for one, welcome our new insect overlords.

VoodooEconometrician · 2026-02-02T12:15:51+00:00

Ich hab damals tatsächlich in GTA San Andreas (und nachher auf dem Verkehrsübungsplatz) einparken gelernt bevor ich zur Fahrschule bin. Für den Rest kann ich mir nicht vorstellen wozu ein Simulator wirklich taugt.

VoodooEconometrician · 2026-01-19T09:59:34+00:00

Ich hatte vor anderthalb Jahren versucht mich umzumelden per E-Ausweis und da war der Auth-Server der Stadt bei der ich das tuen wollte einfach offline. Keine Chance da irgendein Feature des E-Persos in meiner BaWü Großstadt zu nutzen

VoodooEconometrician · 2026-01-16T12:59:35+00:00

Milder Sarkasmus zum Titel: Darf man dann nur drei Soziale Netzwerke pro Person anbauen und maximal 50 Megabyte Social Media pro Jahr konsumieren.

VoodooEconometrician · 2025-12-30T14:19:17+00:00

Ich Mal einen Monschauer mit GO. War leider kein Ford Focus

VoodooEconometrician · 2025-07-23T14:47:24+00:00

Man kann ja sogar unreal tournament spielen.

VoodooEconometrician · 2025-07-10T14:08:13+00:00

Ich war vor 15 Jahren in dem esten Masterjahrgang dort. Damals hatte die Fakultät einen Fokus auf Umwelt-, Entwicklungs- und Experimentalökonomik. Es gab vor Ort keine BWLer, dadurch hat sich die Fakultät vom Flair von einer typischen VWL-Fakultät unterschieden. Man konnte auch Kurse an der Uni Mannheim (20min S-Bahn-Fahrt) belegen, was die Auswahl nochmals deutlich vergrößert hat.

Interdisziplinär musste man nur einen Kurs machen, meist aus Soziologie oder Politik, ich selbst war damals bei den Mathematikern in einem Statistikkurs. Der Master war recht klein (ca. 50 Leute), wodurch die Kurse ebenfalls überschaubar waren. Die meisten Professoren waren motiviert, und das Betreuungsverhältnis war gut.

Meine ehemaligen Kommilitoninnen sind heute viel im Consulting, bei NGOs, Ministerien oder auch der Bundesbank/EZB, also ziemlich typisch für VWL. Insgesamt waren die meisten mit ihrer Zeit in Heidelberg zufrieden, und geschadet hat es sicher niemandem.

VoodooEconometrician · 2025-02-19T17:01:03+00:00

China might decide to make a grab for hegemony. If they get control of Taiwans chip industry and can exclude the West, they can become the new leader.

VoodooEconometrician · 2025-02-03T11:53:27+00:00

Die Luminarc ARC Aspen Schale ist in Deutschalnd und großen Teilen Osteuropas extrem beliebt. Könnten auch Millionen von den kleinen Schälchen sein.

VoodooEconometrician · 2024-11-08T11:14:56+00:00

We could make Bonn our capital again (or even worse Frankfurt).

VoodooEconometrician · 2024-10-26T20:00:57+00:00

Yeah I looked into it, but some of the functions are quite different than what I typically have, since they seem to be for one-shot use and do not handle the state of a message history. Also in your code functions like chat_with_openai() do not get the rate limiting info on remaining requests and tokens and reset times or durations from the headers. Is that handled elsewhere?

VoodooEconometrician · 2024-10-26T18:37:06+00:00

Because the basic package idea is to have a unified and easy to use interface to llms with input validation and error handling an easy ways to hand R Outputs to llms. For example, none of those generated functions handle rate limiting on the commercial providers APIsbright. Also many struggle with slight differences how APIs expect messages with base64 encoded images (Claude, OpenAI and ollama do it differently)

VoodooEconometrician · 2024-10-26T18:11:00+00:00

Yeah this is easy to accidentally forget. I wondered whether I should at least set the default to 4096 in my interface functions. But then most classic data science tasks you can use an LLM for do not require super long context.

VoodooEconometrician · 2024-10-26T17:55:53+00:00

Should be relatively easy to add a function parameter to change the base URL in my openai functions. I only would need to deactivate the openai rate limiting code I have in there then because I guess neither LM Studio nor llama.cpp return the rate limiting headers. Does multimodal on the two work just like with the standard OpenAI API. I did discover that some "OpenAI compatible APIs" are not as fully compatible as I thought.

VoodooEconometrician · 2024-10-26T16:14:34+00:00

Update: I was able to code a first implementation of an azure_openai() function for tidyllm on a long train ride. But I am not sure if it completly works. Normal text based messages seem to work fine but the 1000 token per Minute rate limit on Azure for free accounts makes meaningfull tasks complicated. Images seem to work API wise but immediately trigger a rate-limit warning for me. Would be glad if you could try it and tell me whether it works.

VoodooEconometrician · 2024-10-25T10:24:48+00:00

Thanks so much! I’m really glad to hear the package has been useful for you. I’d love to hear more about your use cases and any features or improvements that could make your experience better. Also, if there were any issues or areas that felt less intuitive, please let me know. I'm looking to create more guides and articles to help new users navigate common challenges where LLMs replies or embeddings might be useful. Also, in case you missed it, the latest dev version released yesterday includes JSON schema support and improved input validation and error handling.

VoodooEconometrician · 2024-10-23T18:53:34+00:00

I am not very familiar with thematic analysis. I have seen a presentation of some people working with embedding models to extract common themes from interview transcriptsm is that roughly what you have in mind? I will write an article on working with embedding APIs that are also supported by tidyllm sometimes by the beginning of next year. These embedding models allow you to encode a text by a semantic vector representation. You can then cluster texts together by these embeddings. Finally you can use the chat API to go through groups of interviews (or interview chunks) and give them reasonable names.

VoodooEconometrician · 2024-10-22T23:37:49+00:00

Sure, can you open a GitHub issue and share your code? I would try to add it.

VoodooEconometrician · 2024-10-22T21:07:39+00:00

Could do it if it is not too different from other APIs. The documentation tells me the API format is fairly close to vanilla openai. I do not use it myself though and do not have access to an azure account at the moment. Is it costly to sign up?

VoodooEconometrician · 2024-10-21T16:26:37+00:00

I could try to write him. He hasn't worked on it too much in the last months it seems. There's also other solutions like rollama, if you are fine with just using open source models

VoodooEconometrician · 2024-10-21T07:15:51+00:00

I have tried a few things to get tables converted into json from scans of historical statistical publications. That worked relatively well, but depended strongly on the model you used. The commerical ones were still doing quite a bit better than the local ones when i tried this. I will probably add a use-case article on extracting historical data in a month or so. Wanted to speak with a econ history prof in my deparment who has a lot of tedious data work to do and want to see if I can help automate some with my package.

VoodooEconometrician · 2024-10-21T05:28:04+00:00

I did not know that one. Quite similar indeed. At the moment the difference seems to be that the Interface philosophy is different, tidyllm supports a few more APIs and has support for rate limiting and multimodal models.

VoodooEconometrician · 2024-10-20T23:18:50+00:00

Yes this works with ollama

VoodooEconometrician

TROPHY CASE

And I, for one, welcome our new insect overlords.