Fine-tuning Language Models on Apple Silicon with MLX
# Fine-Tuning Language Models on Apple Silicon with MLX Fine-tuning a language model used to mean renting cloud GPUs and watching the meter run. If you own a Mac
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# Fine-Tuning Language Models on Apple Silicon with MLX Fine-tuning a language model used to mean renting cloud GPUs and watching the meter run. If you own a Mac
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In this article, you will learn why a large context window is not the same thing as agent memory, and how techniques like retrieval, compression, and summarization fit together
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Making computer use safe in 3.5 Flash To mitigate some of the prompt injection risks for agents operating in live environments, we use targeted adversarial training for computer use
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# Introduction Local coding models are finally getting serious. I have been a big fan of this new wave of local large language models (LLMs), especially the open models
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In this article, you will learn how to transform a basic tool-calling script into a resilient agent that gracefully handles failures from misbehaving tools, malformed model outputs, and unavailable
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AI has the potential to help solve some of the world’s biggest challenges — not just in the digital realm, but in the physical world, too. Robotics is one
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# Introduction I know that when beginners start learning machine learning, things seem easy at first. You follow a tutorial that asks you to load a dataset, train a
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In this article, you will learn how logits, temperature, and top-p sampling work together to control next-token prediction in large language models. Topics we will cover include: What logits
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Today, we are introducing Gemma 4 12B, our latest model designed to bring agentic multimodal intelligence directly to laptops. Bridging the gap between our edge-friendly E4B and our more
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HSBC has entered a multi-year partnership with Google Cloud to develop and deploy artificial intelligence tools across its global operations. Announced at Google Cloud Summit London 2026, the agreement
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