Hugging Face just dropped Chat Assistants, the open-source version of OpenAI GPTs. Here's what stands out: 1. It's completely free to use & share (compared to needing a $20 subscription) 2. You can select from any open-source LLMs to run your Assistant on. Choose from Mixtral,
OPEN SOURCE
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IPAdapters ComfyUI Tutorial Guide for Beginners
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If you haven’t played with IPAdapters much, @cubiq
’s YouTube tutorials for ComfyUI are a great start: -
Meta Layoffs and Open Source AI Market Rewards Criticism
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Wow is this a joke? Meta laid off tens of thousands of employees thus improving the bottomline , but sure let’s drink the koolaid that the market is rewarding open source AI.
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MLX LoRA Fine-tuning Guide for Language Models
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https://
github.com/ml-explore/mlx
-examples/blob/main/llms/mlx_lm/LORA.md
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Database Adaptation for MLX LoRA Implementation
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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
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Request for MoonDream1 Model Support Implementation
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I love this so much! Can we get support for MoonDream1 by @vikhyatk as well?
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Apple MLX Community Growing on Hugging Face Platform
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Very cool to see the @Apple MLX community growing on @huggingface
! Join it if you're excited about on-device AI: https://
huggingface.co/mlx-community -
Mostaque and opensauceAI speak on AI regulation and open source
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Our CEO @EMostaque and Head of Public Policy @opensauceAI will be speaking @openuk_uk State Of Open Con 24! They will delve into topics like building a global company in the UK, AI regulation, and the significance of open source models. You can view the full conference lineup
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OLMo: Accelerating the Science of Language Models
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OLMo: Accelerating the Science of Language Models Groeneveld et al.: https://
arxiv.org/abs/2402.00838 #ArtificialIntelligence #DeepLearning #MachineLearning -
LoRAX v0.7 Release: Runtime LoRA Merging Per Request
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Announcing the Release of #LoRAX v0.7: Merge #LoRAs at runtime per request! Use cases: Mix LoRAs to improve response (Mixture of LoRAs) No need to pick the right #LoRA by hand Combine with a ranker and merge top-k LoRAs https://
pbase.ai/42tbst0