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patrick-fitz

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Asking Meta to stop using the term "open source" for Llama

github.com
6 points·by patrick-fitz·2 tahun yang lalu·0 comments

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patrick-fitz
·2 tahun yang lalu·discuss
I'd be interested to see how it performs on https://www.swebench.com/

Using SWE-agent + Yi-Coder-9B-Chat.
patrick-fitz
·2 tahun yang lalu·discuss
Sorry, but the landing page is a bit dull. I think you need a video showing a live demo of the product.
patrick-fitz
·2 tahun yang lalu·discuss
I think they should be a distinction between open-source and open-weight LLM's.
patrick-fitz
·2 tahun yang lalu·discuss
Thanks for the link, this does make it more approachable!
patrick-fitz
·2 tahun yang lalu·discuss
When clicking on a .org domain, the website redirects me to a .org.uk domain on Namecheap.
patrick-fitz
·2 tahun yang lalu·discuss
They have now added a disclaimer: "Messages are generated by AI and may be inaccurate or inappropriate."
patrick-fitz
·2 tahun yang lalu·discuss
I think Meta.ai needs to add a disclaimer below the chat input box similar to ChatGPT:

"ChatGPT can make mistakes. Consider checking important information."
patrick-fitz
·2 tahun yang lalu·discuss
Nice project! I find it can be hard to think of a idea that is well suited to use AI. Using embeddings for search is definitely a good option to start with.
patrick-fitz
·2 tahun yang lalu·discuss
https://twitter.com/karpathy/status/1777427944971083809

> And once this is a in a bit more stable state: videos on building this in more detail and from scratch.

Looking forward to watching the videos.
patrick-fitz
·2 tahun yang lalu·discuss
Out of curiosity, looking at the cheapest price for a H100 that I could find online.

Lambda Reserved Cloud [1] starts at $1.89 per H100 per hour.

It could be possible to get the cost down to a lower amount:

$1.89 * 96GPUs * 24hours * 14days = ~$61k

1 - https://lambdalabs.com/deep-learning/servers/hyperplane
patrick-fitz
·2 tahun yang lalu·discuss
> (The New York Times has sued Microsoft and its partner OpenAI on claims of copyright infringement involving artificial intelligence systems that generate text.)

It's strange to see this included randomly in the middle of the article.
patrick-fitz
·2 tahun yang lalu·discuss
"AI programming emits hundreds of times less carbon than humans" the same would also be true :0
patrick-fitz
·2 tahun yang lalu·discuss
This looks great, is there a converter to convert an OpenAPI yml file to TypeSpec?
patrick-fitz
·2 tahun yang lalu·discuss
Yes, there are using different wording in different articles:

https://www.databricks.com/blog/introducing-dbrx-new-state-a...

The only mention of open source is:

> DBRX outperforms established open source models

https://www.databricks.com/blog/announcing-dbrx-new-standard...

Open source is mentioned 10+ times

> Databricks is the only end-to-end platform to build high quality AI applications, and the release today of DBRX, the highest quality open source model to date, is an expression of that capability

https://github.com/databricks/dbrx

On Github it's described as an open license, not an open source license:

> DBRX is a large language model trained by Databricks, and made available under an open license.
patrick-fitz
·2 tahun yang lalu·discuss
Looking at the license restrictions: https://github.com/databricks/dbrx/blob/main/LICENSE

"If, on the DBRX version release date, the monthly active users of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700 million monthly active users in the preceding calendar month, you must request a license from Databricks, which we may grant to you in our sole discretion, and you are not authorized to exercise any of the rights under this Agreement unless or until Databricks otherwise expressly grants you such rights."

I'm glad to see they aren't calling it open source, unlike some LLM projects. Looking at you LLama 2.