Experimental News Clipping Site

Tag: Inference

  • The Register: Cheat codes for LLM performance: An introduction to speculative decoding

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    Source URL: https://www.theregister.com/2024/12/15/speculative_decoding/ Source: The Register Title: Cheat codes for LLM performance: An introduction to speculative decoding Feedly Summary: Sometimes two models really are faster than one Hands on When it comes to AI inferencing, the faster you can generate a response, the better – and over the past few weeks, we’ve seen a number…

  • Hacker News: Fast LLM Inference From Scratch (using CUDA)

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    Source URL: https://andrewkchan.dev/posts/yalm.html Source: Hacker News Title: Fast LLM Inference From Scratch (using CUDA) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive overview of implementing a low-level LLM (Large Language Model) inference engine using C++ and CUDA. It details various optimization techniques to enhance inference performance on both CPU…

  • Simon Willison’s Weblog: Quoting Riley Goodside

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    Source URL: https://simonwillison.net/2024/Dec/14/riley-goodside/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Riley Goodside Feedly Summary: An LLM knows every work of Shakespeare but can’t say which it read first. In this material sense a model hasn’t read at all. To read is to think. Only at inference is there space for serendipitous inspiration, which is why LLMs…

  • Cloud Blog: Orchestrating GPU-based distributed training workloads on AI Hypercomputer

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gpu-orchestration-options-on-ai-hypercomputer/ Source: Cloud Blog Title: Orchestrating GPU-based distributed training workloads on AI Hypercomputer Feedly Summary: When it comes to AI, large language models (LLMs) and machine learning (ML) are taking entire industries to the next level. But with larger models and datasets, developers need distributed environments that span multiple AI accelerators (e.g. GPUs…

  • CSA: Test Time Compute

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    Source URL: https://cloudsecurityalliance.org/blog/2024/12/13/test-time-compute Source: CSA Title: Test Time Compute Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses Test-Time Computation (TTC) as a pivotal technique to enhance the performance and efficiency of large language models (LLMs) in real-world applications. It highlights adaptive strategies, the integration of advanced methodologies like Monte Carlo Tree Search…

  • Cloud Blog: Scaling to zero on Google Kubernetes Engine with KEDA

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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/scale-to-zero-on-gke-with-keda/ Source: Cloud Blog Title: Scaling to zero on Google Kubernetes Engine with KEDA Feedly Summary: For developers and businesses that run applications on Google Kubernetes Engine (GKE), scaling deployments down to zero when they are idle can offer significant financial savings. GKE’s Cluster Autoscaler efficiently manages node pool sizes, but for applications…

  • Hacker News: Trillium TPU Is GA

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    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga Source: Hacker News Title: Trillium TPU Is GA Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of Google’s latest TPU, Trillium, which is tailored for large-scale AI workloads, focusing on its advancements in computational power, energy efficiency, and training capabilities. This is crucial for organizations leveraging…

  • Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU

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    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…

  • Hacker News: Training LLMs to Reason in a Continuous Latent Space

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    Source URL: https://arxiv.org/abs/2412.06769 Source: Hacker News Title: Training LLMs to Reason in a Continuous Latent Space Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a novel approach for enhancing reasoning capabilities in large language models (LLMs) through a technique called Coconut, which utilizes a continuous latent space for reasoning rather than…

  • Cloud Blog: To avoid “bill shocks,” Palo Alto Networks deploys custom AI-powered cost anomaly detection

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    Source URL: https://cloud.google.com/blog/topics/cost-management/palo-alto-networks-custom-cost-anomaly-detection-with-ai-bill-shocks/ Source: Cloud Blog Title: To avoid “bill shocks,” Palo Alto Networks deploys custom AI-powered cost anomaly detection Feedly Summary: In today’s fast-paced digital world, businesses are constantly seeking innovative ways to leverage cutting-edge technologies to gain a competitive edge. AI has emerged as a transformative force, empowering organizations to automate complex processes,…