7. MLX: A deeplearning framework for machine learning on macOS! You can efficiently train and deploy ML models. The repo also includes examples to run open-source models using MLX, like LLaMA, Mixtral 8x7B, LoRA, CLIP, Whisper and Stable Diffusion. https://
github.com/ml-explore/mlx
LLMS
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MLX: Deep Learning Framework for Machine Learning on macOS
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Building AI Applications with Python Basics
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+1 You just need to know the basics of Python plus some logic to build these applications.
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7 ChatGPT Prompts for Coding Practice
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7 ChatGPT Prompts for Coding Practice Enhances programming proficiency. • Solve daily challenges
• Debug existing code
• Build small projects Read more: https://
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Analysis of model list retrieval logic and release delays
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Looks very related, yes. In case they had to roll back the release it would easily explain the delay. + The issue was somewhere around a models list retrieval logic
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Speculation and Reality in AI Model Releases
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I would assume that rumours could be created based on “smth big will be released on June 6”. And a couple of months back you would only be able to think of GPT-5, while in fact, it was “her”
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Multimodal AI evolving to real-time visual processing
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Currently, only if you take a photo yourself. After the release of a new model, it also will be able to see what is happening in real time.
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LLMs Generating UI Directly From Text Improves Efficiency
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Makes sense but if/when the LLM can generate UI from text, turning it into a diagram first is just inefficient
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Daily Content on Python, Data Science, Machine Learning and MLOps
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.