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Some ~subscript~ text

Some ^superscript^ text

cross-posted from: https://lemmy.toldi.eu/post/984660

Another day, another model.

Just one day after Meta released their new frontier models, Mistral AI surprised us with a new model, Mistral Large 2.

It's quite a big one with 123B parameters, so I'm not sure if I would be able to run it at all. However, based on their numbers, it seems to come close to GPT-4o. They claim to be on par with GPT-4o, Claude 3 Opus, and the fresh Llama 3 405B regarding coding related tasks.

It's multilingual, and from what they said in their blog post, it was trained on a large coding data set as well covering 80+ programming languages. They also claim that it is "trained to acknowledge when it cannot find solutions or does not have sufficient information to provide a confident answer"

On the licensing side, it's free for research and non-commercial applications, but you have to pay them for commercial use.

Another day, another model.

Just one day after Meta released their new frontier models, Mistral AI surprised us with a new model, Mistral Large 2.

It's quite a big one with 123B parameters, so I'm not sure if I would be able to run it at all. However, based on their numbers, it seems to come close to GPT-4o. They claim to be on par with GPT-4o, Claude 3 Opus, and the fresh Llama 3 405B regarding coding related tasks.

It's multilingual, and from what they said in their blog post, it was trained on a large coding data set as well covering 80+ programming languages. They also claim that it is "trained to acknowledge when it cannot find solutions or does not have sufficient information to provide a confident answer"

On the licensing side, it's free for research and non-commercial applications, but you have to pay them for commercial use.

Meta has released llama 3.1. It seems to be a significant improvement to an already quite good model. It is now multilingual, has a 128k context window, has some sort of tool chaining support and, overall, performs better on benchmarks than its predecessor.

With this new version, they also released their 405B parameter version, along with the updated 70B and 8B versions.

I've been using the 3.0 version and was already satisfied, so I'm excited to try this.

Test post for Eternity

Some text between the images

I've asked ChatGPT to generate random images. I just want to use this to test the Gallery view in Eternity.

test

Eternity renders

^words ^like ^this

as superscript. According to Lemmy documentation, they should be rendered with markdown that

^looks^ ^like^ ^this^

with each word enclosed in carrots.

Hello everyone!

I have some good news! Eternity has finally been added to the main F-Droid repo. I've managed to get reproducible builds working, so this version is the same as the one on Codeberg (but verified by F-droid).

Hello everyone!

It's been some time since our last update. As the version number indicates, this is primarily a bugfix update; hence, it doesn’t bring the "big new feature" I had hoped to introduce. The most important change here is that this version of Eternity will be compatible with the upcoming Lemmy version 0.19.

It's worth noting that upon upgrading to this version, you may need to log out and then log back into your account, based on my experience.

For the next release, I want to address more of the common issues found in our bug tracker. So, there may be another minor update shortly, but I can't make any promises at the moment. I've also made some progress with multi-community support and I plan to introduce modding tools as well.

In the meantime, thank you so much for your continued support.

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