Ray Serve is a cutting-edge model serving library built on the Ray framework, designed to simplify and scale AI model deployment. Whether you’re chaining models in sequence, running them in parallel,…
Quantization is a transformative AI optimization technique that compresses models by reducing precision from high-bit floating-point numbers (e.g., FP32) to low-bit integers (e.g., INT8). This…
In the rapidly evolving field of AI, the distinction between foundation models and task models is critical for understanding how modern AI systems work. Foundation models, like GPT-4 or BERT, provide…
This was covered in a previous issue: What Are Parameters? Why Are “Bigger” Models Often “Smarter”?
Thanksgiving usually brings memories of food, family, and laughter. For me, this year added an unexpected twist: cleaning up a massive library of duplicate photos stored on my WD NAS. What started as…