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Brendan McKeag

Brendan McKeag

Runpod and Klangio Partner To Bring Music Transcription to Learners and Professionals Alike

Klangio uses AI to transcribe music from recordings into readable notation, empowering learners and professionals alike. With Runpod’s infrastructure, Klangio can scale without the burden of managing GPU infrastructure.
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Product Updates

Runpod Roundup 5 – Visual/Language Comprehension, Code-Focused LLMs, and Bias Detection

his week’s roundup covers Alibaba’s vision-language model Qwen-VL, Meta’s new code-focused LLM Code Llama, and FACET—a benchmark for detecting bias in computer vision datasets.
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AI Workloads

Runpod Roundup 4 – Open Source LLM Evaluators, 3D Scene Reconstruction, Vector Search

Bench, Neuralangelo, and Marqo highlight this week’s updates—open-source tools for evaluating LLMs, reconstructing 3D scenes, and enabling GPU-powered vector search.
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AI Workloads

The Effects of Rank, Epochs, and Learning Rate on Training Textual LoRAs

Learn how rank, learning rate, and training epochs impact the output of textual LoRAs—and how to balance these settings for coherent, stylistically faithful results.
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AI Workloads

Runpod RoundUp 3 – AI Music and Stock Sound Effect Creation

This week’s Runpod RoundUp highlights Meta’s Audiocraft for AI-generated music and sound effects, new Chinese LLMs from Alibaba, and Salesforce’s DialogStudio dataset hub for building conversational AI.
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AI Workloads

Runpod RoundUp 2 – 32k Token Context LLMs and New StabilityAI Offerings

This week’s Runpod RoundUp covers major releases including Llama-2 with 32k context support, SDXL 1.0’s public release, and StabilityAI’s new Stable Beluga LLMs—all now available to run on Runpod.
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AI Workloads

Stable Diffusion XL 1.0 Released And Available On Runpod

Stable Diffusion XL 1.0 is now live on Runpod with full support in the Fast Stable Diffusion template. Users can generate higher-resolution, more anatomically accurate, and text-capable images with simplified prompts using AUTOMATIC1111 via a streamlined Jupyter setup.
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AI Workloads

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