15 2 34

Altryne

altryne

https://targum.video

AI & ML interests

None yet

Recent Activity

liked a Space 5 days ago

webml-community/kokoro-web

upvoted a collection 4 months ago

DataGemma Release

liked a model 5 months ago

justmalhar/flux-thumbnails

View all activity

Organizations

altryne's activity

liked a Space 5 days ago

Running

114

🗣️

Kokoro Text-to-Speech

High-quality speech synthesis powered by Kokoro TTS

upvoted a collection 4 months ago

DataGemma Release

Collection

A series of pioneering open models that help ground LLMs in real-world data through Data Commons. • 2 items • Updated Dec 13, 2024 • 82

liked a model 5 months ago

justmalhar/flux-thumbnails

Text-to-Image • Updated Aug 21, 2024 • 121 • • 6

updated a model 5 months ago

altryne/spacex-astro-lora

Text-to-Image • Updated Aug 29, 2024 • 4 •

upvoted an article 5 months ago

Article

Introducing AuraFace: Open-Source Face Recognition and Identity Preservation Models

•

Aug 26, 2024

• 40

liked a model 5 months ago

InstantX/FLUX.1-dev-Controlnet-Union

Updated Aug 26, 2024 • 19.9k • 381

liked a Space 5 months ago

Running on Zero

1.28k

🏆

FLUX LoRa the Explorer

liked a Space 6 months ago

Running on Zero

454

🔥

Argilla Space Template

updated a Space 11 months ago

No application file

🌍

Github2file

reacted to morgan's post with ❤️ 11 months ago

Post

Fine-tuning LLMs is rad, but how do you manage all your checkpoints and evals in a production setting?

We partnered with @hamel to ship an Enterprise Model Management course packed full of learnings for those training, evaluating and deploying models at work.

Topics include:
- What webhooks are & how to use them to create integrations with different tools
- How to automate train -> eval runs
- Improving model governance and documentation
- Comparing candidate and baseline models
- Design patterns & recipes
- Lots more...

Would love to hear what you think!

👉 https://www.wandb.courses/courses/enterprise-model-management

reacted to morgan's post with ❤️ 12 months ago

Post

Delighted to share a course I've learned a ton from about getting better outputs from LLMs

https://www.wandb.courses/courses/steering-language-models

We released it last Thursday (free) and at just 30 minutes of content total, its very information-dense with non-stop learnings covering important concepts around LLM validation, making your approach to LLM prompting more pythonic and quickly covers a basic RAG application at the end.

Would love to hear what ye think!