Ollama 0.4 integrates Meta's Llama 3.2 Vision models for terminal-based image analysis. https://ollama.com/blog/llama3.2-vision

https://gretel.ai/blog/gliner-models-for-pii-detection?utm_source=tldrai

Here is the paper: https://huggingface.co/papers/2404.16710 Model: https://huggingface.co/collections/facebook/layerskip-666b25c50c8ae90e1965727a Check out My brief note in Medium: https://medium.com/@dpokhrel/layerskip-models-in-laymans-term-55b034ca54c7 LayerSkip, is a new method for making Large Language Models (LLMs) faster and more efficient. LLMs, like the ones that power chatbots and text generators, require a lot of computing power. LayerSkip aims to reduce this by allowing the models to "skip" some of their processing steps.

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https://rsvp.withgoogle.com/events/google-generative-ai-intensive