LocalLLaMA

3306 readers

1 users here now

Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

founded 2 years ago

MODERATORS

SkySyrup@sh.itjust.works

pax@sh.itjust.works

noneabove1182@sh.itjust.works

Smokeydope@lemmy.world

MonsterBug@sh.itjust.works

Nearly 10% of people ask AI chatbots for explicit content. Will it lead LLMs astray? [Article from October 3] (www.zdnet.com)

submitted 2 years ago* (last edited 2 years ago) by rufus@discuss.tchncs.de to c/localllama@sh.itjust.works

18 comments fedilink hide all child comments

They are referencing this paper: LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset from September 30.

The paper itself provides some insight on how people use LLMs and the distribution of the different use-cases.

The researchers had a look at conversations with 25 LLMs. Data is collected from 210K unique IP addresses in the wild on their Vicuna demo and Chatbot Arena website.

you are viewing a single comment's thread
view the rest of the comments

[–] fhein@lemmy.world 2 points 2 years ago (1 children)

I think that mostly applies when you combine it with the Samantha character description in the prompt, but if you substitute it for a different character card the model itself doesn't feel heavily censored or anything. Personally I like it as an RP model because it isn't hypersexual like many others are. And while Mistral-7b is very competent as an AI assistant I don't think it's great for RP, so I tend to prefer fine-tunes of llama-2-13b for conversations.

[–] rufus@discuss.tchncs.de 1 points 2 years ago* (last edited 2 years ago)

Ah, nice. Yeah I've had some success with Mistral 7B Claude and Mistral 7B OpenOrca (I believe there are newer and better ones out since) I really like the speed of the 7B. And they engage in roleplay/dialogue and are -in my eyes- surprisingly smart. It understood how to roleplay a bit more complicated characters with likes and dislikes and personality quirks (within limits). But you're right. There is a difference to a Llama2 with more parameters. If you go away from the 'normal' smart assistant chatbot usage you'll notice. I also compared the german-speaking finetunes of Mistral and Llama2 and you can kinda tell Mistral hasn't seen much text outside of english in it's original dataset.