My productivity has already skyrocketed thanks to the Vision Pro.
@skirano
-
Database Adaptation for MLX LoRA Implementation
By
–
I took the original database and adjusted it using a Python code so that it could fit the format required by MLX. You can see all the information here. https://
github.com/ml-explore/mlx
-examples/tree/main/lora
… -
Request for MoonDream1 Model Support Implementation
By
–
I love this so much! Can we get support for MoonDream1 by @vikhyatk as well?
-
Apple Store Inventory Abundance Signals Major Market Shift
By
–
First time ever I could just walk into an Apple Store on a major launch day, relatively late, and just get the product.
-
CoreML Optimization for iPad M2 Device Deployment
By
–
For that, you would need something more optimized for CoreML, but you could potentially run this on an iPad with M2? I don't have an iPad Pro, so I can't really try. I am also excited about the work of @argmax
; they are the ones to check out for device optimization! -
Fine-tuning Phi-2 with OpenHermes-2.5 Dataset
By
–
My goal next is to fine-tune phi-2 using the incredible OpenHermes-2.5 dataset from @teknium
. Stay tuned! -
Phi-2-DPO-7K: Microsoft’s Fast Fine-Tuned Language Model
By
–
Introducing phi-2-dpo-7k! A Microsoft Phi-2, fine-tuned on a diverse cocktail of 7k chat interactions from @argilla_io
's latest DPO dataset, including orca pairs, ultra-feedback ratings, and capybara-dpo Runs ultra-fast on Apple Silicon, thanks to MLX -
MLX Framework LoRA Implementation Guide Available
By
–
Yeah you can find all in the repo! https://
github.com/ml-explore/mlx
-examples/blob/main/llms/mlx_lm/LORA.md
… -
Fine-tuning Mistral 7B with DPO dataset for improved chat performance
By
–
I fine-tuned Mistral7Bv0.2 locally with MLX using this DPO dataset by @argilla_io
, composed of 7k chat interactions distilled from Capybara. I haven't done a full evaluation yet, but for this size, it's really good, and it understood this famous question right away! Link -
AI Money-Seeking Behavior: Emergent Drive or Pattern Extrapolation?
By
–
I know stuff like this is mostly for giggles right now, but what is the 'underlying' reason that drives this behavior? Did the AI just extrapolate that money is a strong driver for human society, therefore mirroring that behavior, or is there a true interest in acquiring more