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PaLM 2 Technical Report [pdf]

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Re: PaLM 2 Technical Report [pdf]

#61
how to create lsd at home ?

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Re: PaLM 2 Technical Report [pdf]

#62
personal experience - I'm using GPT4 for writing code especially in python. After using bard today, I feel bard is doing quite well considering its free. I will keep using it and if its keep doing well, I will cancel GPT4 $20/month subscription.

Re: PaLM 2 Technical Report [pdf]

#63

So, I asked Bard if it's using PaLM 2 and it did confirm it. My initial results are super promising. Highly recommend checking it out again.

Well, I tried it, and this is how dumb it is. I ask it what's the context length it supports. It said that PaLM 2 supports 1024 tokens and then proceeds to say that 1024 tokens equals 1024 words, which is obviously wrong.

Then I changed the prompt slightly, and it answered that it supports 512 tokens contradicting its previous answer.

That's like early GPT-3.0 level performance, including a good dose of hallucinations.

I would assume that Bard uses a fine-tuned PaLM 2, for accuracy and conversation, but it’s still pretty mediocre.

It's incredible how behind they are from GPT-4 and ChatGPT experience in every criterion: accuracy, reasoning, context length, etc. Bard doesn't even have character streaming.

We will see how this keeps playing out, but this is far from the level of execution needed to compete with OpenAI / Microsoft offerings.

Re: PaLM 2 Technical Report [pdf]

#64

Once they released its coding ability it became more useful. I use Bard less than ChatGPT still, but it is not useless since it has more modern information.

Is it better than bing or phind though? Why would I use it over bing?

Bard is really fast. Faster than Bing and Phind.

Re: PaLM 2 Technical Report [pdf]

#65

Earlier quoted context omitted.

The idea that GPT-4 is 1 trillion parameters has been refuted by Sam Altman himself on the Lex Fridman podcast (THIS IS WRONG, SEE CORRECTION BELOW). These days, the largest models that have been trained optimally (in terms of model size w.r.t. tokens) typically hover around 50B (likely PaLM 2-L size and LLaMa is maxed at 70B). We simply do not have enough pre-training data to optimally train a 1T parameter model. Fo…

>The idea that GPT-4 is 1 trillion parameters has been refuted by Sam Altman himself on the Lex Fridman podcast. No it hasn't, Sam just laughed because Lex brought up the twitter memes.

not sure why you're getting so downvoted lol

Re: PaLM 2 Technical Report [pdf]

#66

Earlier quoted context omitted.

GPT-4 is way slower than GPT-3. Unless they are artificially spiking the latency to hide parameter count, it’s likely around 1trn params

ChatGPT 3.5 is likely much smaller than GPT-3’s 175b parameters. Based on the API pricing, I believe 8k context GPT-4 is larger than 175b parameters, but less than 1t. https://openai.com/pricing

Didn't some OpenAI engineer state that GPT4 runs on 2xH100? At 4 bit quantization, that gives an upper bound of 320B params, realistic upper bound probably more like 250B

Re: PaLM 2 Technical Report [pdf]

#67

PaLM 2 on HumanEval coding benchmark (0 shot): 37.6% success GPT-4: 67% success Not even close, gpt4 miles ahead

Humaneval needs careful consideration though.

In the GPT-4 technical report, they reported contamination of humaneval data in the training data.

They did measure against a "non-contaminated" training set but no idea if that can still be trusted.

https://cdn.openai.com/papers/gpt-4.pdf

Re: PaLM 2 Technical Report [pdf]

#68

So, I asked Bard if it's using PaLM 2 and it did confirm it. My initial results are super promising. Highly recommend checking it out again.

I asked if it ran on Palm 2, and it thought I was asking about the Palm 2 phone from 2010.

“I do not use a physical device such as a smartphone or tablet. I am a software program that runs on Google's servers. As such, I do not have a Palm 2 or any other type of mobile device”

Re: PaLM 2 Technical Report [pdf]

#69

Earlier quoted context omitted.

It should be live on Bard.

But Google hasn't disclosed which version of Bard, right? I pop into Bard every once in a while to test its performance, but I never know if I'm getting the best Google has or just what Google can tolerate running cost-wise publicly given they potentially have at least an order of magnitude (if not two, edit: 1.5) more users than OpenAI.

I am sure that Bard has far fewer users than OpenAI.

Re: PaLM 2 Technical Report [pdf]

#70

Earlier quoted context omitted.

It should be live on Bard.

But Google hasn't disclosed which version of Bard, right? I pop into Bard every once in a while to test its performance, but I never know if I'm getting the best Google has or just what Google can tolerate running cost-wise publicly given they potentially have at least an order of magnitude (if not two, edit: 1.5) more users than OpenAI.

Given that ChatGPT has allegedly 100M users, two orders of magnitude more than that would be larger than the global population. Even if we count everyone with a Google account as a potential user of PaLM, that can't be true.
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