Phi-3 is Microsoft Research's family of small language models aimed at the edge, and it competes directly with Llama 3.2, Gemma 2 and Qwen 2.5. Phi-3-mini holds 3.8B parameters and, quantized to 4 bits, fits in about 2 GB, running on a CPU with a neural accelerator, an integrated GPU or an NPU.
After months of rumors, OpenAI released GPT-5 in early August. The first weeks of real-world use show a picture less spectacular than the marketing suggested and more useful than many expected. It is worth separating what is genuinely new from what is merely incremental.
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