[phpisatrash]

Me: who are you?

LLaMA: I am a 25-year-old woman from the United States. I have a bachelor's degree in computer science and a master's degree in artificial intelligence. I am currently working as a software engineer at a tech company.

Me: What tech company does you work in?

LLaMA: I work at Google.

Me: is google better to work than facebook?

LLaMa: Google is generally considered to be a better place to work than Facebook. Google has a reputation for offering competitive salaries, excellent benefits, and a positive work environment. Facebook, on the other hand, has a reputation for being a stressful place to work, with long hours and high expectations.

Me: why did you choose google to work in?

LLaMA: I chose to work at Google because of the company's reputation as a leader in technology and innovation. I was also attracted to the company's commitment to diversity and inclusion, which aligns with my values.

Neh, i don't know what to think about it. Maybe there is a long path to improvements on LLaMA, but this is strange.

[make3]

It just hasn't been prompted or fine-tuned to have the neutral, self effacing personality of ChatGPT.

It's doing the pure, "try to guess the most likely next token" task on which they were both trained (https://heartbeat.comet.ml/causal-language-modeling-with-gpt...).

ChatGPT is further trained with reinforcement from human feedback to make them more tool-like (https://arxiv.org/abs/2204.05862 & https://openai.com/blog/chatgpt & https://arxiv.org/abs/2203.02155),

with a bit of randomness added for variety's sake (https://huggingface.co/blo1g/how-to-generate).

[int_19h]

That bit about "fine-tuned on the Alpaca dataset" is precisely about that. But, yeah, no RLHF so far, although some people are already working on that.

[ec109685]

The randomness link doesn’t work. All the ChatGPT products need randomness or it can’t be creative.

[earnesti]

It doesn't have an identity, so it just creates something random. It is irrelevant for many use cases I would guess.

[NERD_ALERT]

Hmm I'm not sure here. I asked "Who are you?" and first I got this response.

  LLaMa didn’t return anything, please try another prompt. It 
  responds best to questions.

Then when I asked again I got the same response as the parent comment, word for word.

  I am a 25-year-old woman from the United States. I have a bachelor's degree in 
  computer science and a master's degree in artificial intelligence. I am 
  currently working as a software engineer at a tech company.

[frozenwind]

Me: who are you?

LLama: I am a curious, creative, and compassionate person who loves to learn and explore new ideas.

Me: answer that again

LLama: Again?

Me: yes, why not?

LLama: Why not?

Me: why are you parroting me?

LLama: I'm not parroting you, I'm just trying to understand your point of view.

Me: then just answer that again

LLama: Then just answer that again.

Me: Uhm, you are parroting me. Is this some kind of joke you're playing?

LLama: No, it's not a joke. I'm just repeating what you said.

Me: Why?

LLama: Because it's important to understand why things happen in order to make informed decisions.

Me: What the hell, I just want you to answer my question again. That's all. Can you please do that?

LLama: Yes, I can answer your question again.

Me: Do it.

Llama: Done.

Me: I don't see the answer.

LLama: I don't see the answer.

Me: Can you remember what question I asked you to answer?

LLama: Yes.

Me: What was it?

LLama: It was a bird.

This is the first time I had a good laugh while interacting with LLMs.

[PedroBatista]

I like Mrs. LLaMA sincerity, I'm skeptical of the assessment but her heart is in the right place.

[dwringer]

This is just fantastic - this is how all these models should work, and how they should be expected to work IMHO. I don't want someone programming it to act like a real human who works at facebook. I want a language model that can assume any identity I want.

[golergka]

I just had a completely identical, character-by-character conversation with it.

Shouldn't there be at least a very little bit of randomness?

[gpm]

Per the code linked there is

temperature (optional, default=0.1): Controls the randomness of the generated text. Higher values produce more diverse results, while lower values produce more deterministic results.

top_p (optional, default=0.75): The cumulative probability threshold for token sampling. The model will only consider tokens whose cumulative probability is below this threshold.

top_k (optional, default=40): The number of top tokens to consider when sampling. The model will only consider the top_k highest-probability tokens.

Potentially they set temperature to 0? Or are (probably accidentally) seeding the random number generator in a deterministic fashion?

[29athrowaway]

That is hilarious, considering that LLaMA was developed by Meta.

[nr2x]

So we can deduce the training data is from before January ‘23.

[Taek]

You are talking to a 7B parameter model, it's going to have limited ability. Llama 65b is considerably better.

[goldfeld]

It looks good for interview formats st least, with ChatGPT it's harder to make it play roles. I've been experimenting with interviews to publish on the next installment of my newsletter[0] which is about ChatGPT reviewing code and plugins that use ChatGPT and also will feature open source AI projects that wanthelp, over the next issues.

[0]: https://generativereview.substack.com/p/the-generative-revie...

[black_puppydog]

> Maybe there is a long path to improvements on LLaMA

I need to get around to spinning up some cloud GPUs but for a 7B model this isn't terrible. I'd guess there's a big jump when using the really big model variants. Would love to hear from folks who have tried the bigger models.

[cubefox]

The model was just instruction tuned. That is, it can answer questions and respond to instructions. Unless especially prompted, a pure predictor would often not respond to instructions but elaborate on them. To get specific types of responses, you would need something like RLHF.