Viewing profile — ma2rten

My personal "oh shit" moment was in 2015, when this paper came out: https://arxiv.org/abs/1506.05869 It showed me that a model trained only on movie subtitles data exhibited some (…

Erm, ... OpenAI has hyped when it started and it took 6 years to take off. It's way to early to declare the SSI and Thinking Machines have failed.

Delaying doesn't necessarily mean they stop working on it. Also it might be a question of compute resource allocation as well.

You can add Show HN to the title for your own projects. They will show up in the show tab.

Europe is quite conservative, in the sense that they would not invest billions into an unproven venture. It makes sense that it would excel at an industry that requires putting saf…

It's actually true on many levels, if you think about is needed for generating syntactically and grammatically correct sentences, coherent text and working code.

Interpretability research has found that Autoregressive LLMs also plan ahead what they are going to say.

Your use of the phrase makes no sense. It's the "no parking" that proofs the rule and not the exception.

You can also look at the price of opensource models on openrouter, which are a fraction of the cost of closed source models. This is a market that is heavily commoditized, so I wou…

Presumably the model is trained in post-training to produce a response to a prompt, but not to reproduce the prompt itself. So if you prompt it with an empty prompt it's going to b…

The study seemed not very convincing to me, at least the way it was described in the article. To summarize: they asked crowdworkers to write a law who used legalese, but not when w…

This is the same problem as echo cancellation on calls. This is something that built into a lot of software and hardware.

t5x was used to train PaLM 1.

I have an upcoming trip to Europe, which I am quite excited about. I wanted to set up a Tailscale exit node to ensure that critical apps I depend on, such as banking portals contin…

Apples cares about the privacy and security of iPhones as a differentiator.

Noam.

No this is not correct. Arguably OpenAI invented LLMs with GPT3 and the preceding scaling laws paper. I worked on LAMDA, it came after GPT4 and was not as capable. Google did inven…

Both Amazon and Google already do this, there are reports that Microsoft does as well.

Yes, I think that is a reasonable way to think about it, in my opinion. However, with the language modeling objective it predicts the next token and because of the residual connect…

Attention takes in all tokens in the sequence and outputs a new representation of the current token in context. Each layer of the transformer adds more context to the token. I have…

I didn't have time to read this, but it is a single author paper, the author is not affiliated with a research group, it is not peer reviewed, it was published on a preprint server…

How so?

Someone just asked GPT-4 and got the same result as DeepMind did: https://twitter.com/DimitrisPapail/status/166684395282416846...

That is only relevant for serving and not for inference, unless the model is too big to fit on a single host (typically 8 GPUs).

https://arxiv.org/abs/2305.15717