Google is rolling out a raft of powerful new generative AI features for Vids designed to take the pain out of video creation. Between wrestling with complicated software, finding someone willing to be on camera, […]
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In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as tools, […]
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When AI data centres run out of space, they face a costly dilemma: build bigger facilities or find ways to make multiple locations work together seamlessly. NVIDIA’s latest Spectrum-XGS Ethernet technology promises to solve this […]
Both GPUs and TPUs play crucial roles in accelerating the training of large transformer models, but their core architectures, performance profiles, and ecosystem compatibility lead to significant differences in use case, speed, and flexibility. Architecture […]
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The big three cloud providers tend to snap up the majority of hosting honours for containerised workflows. Google, AWS, and Microsoft are the de facto hosting providers, as you might expect, with Red Hat, Alibaba, […]
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Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement fine-tuning (RFT), each with distinct strengths and limitations. SFT is effective in teaching instruction-following through example-based learning, but it can […]
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