Tag: Inference

  • Hacker News: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization

    Source URL: https://rccchoudhury.github.io/rlt/ Source: Hacker News Title: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel approach called Run-Length Tokenization (RLT) aimed at optimizing video transformers by eliminating redundant tokens. This content-aware method results in substantial speed improvements for training and…

  • Cloud Blog: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-deploy-llama-3-2-1b-instruct-model-with-google-cloud-run/ Source: Cloud Blog Title: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU Feedly Summary: As open-source large language models (LLMs) become increasingly popular, developers are looking for better ways to access new models and deploy them on Cloud Run GPU. That’s why Cloud Run now offers fully managed NVIDIA…

  • Hacker News: BERTs Are Generative In-Context Learners

    Source URL: https://arxiv.org/abs/2406.04823 Source: Hacker News Title: BERTs Are Generative In-Context Learners Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “BERTs are Generative In-Context Learners” explores the capabilities of masked language models, specifically DeBERTa, in performing generative tasks akin to those of causal language models like GPT. This demonstrates a significant…

  • Cloud Blog: Data loading best practices for AI/ML inference on GKE

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke/ Source: Cloud Blog Title: Data loading best practices for AI/ML inference on GKE Feedly Summary: As AI models increase in sophistication, there’s increasingly large model data needed to serve them. Loading the models and weights along with necessary frameworks to serve them for inference can add seconds or even minutes of scaling…

  • Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting/ Source: Cloud Blog Title: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models Feedly Summary: As generative AI evolves, we’re beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching…

  • Hacker News: Visual inference exploration and experimentation playground

    Source URL: https://github.com/devidw/inferit Source: Hacker News Title: Visual inference exploration and experimentation playground Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces “inferit,” a tool designed for large language model (LLM) inference that enables users to visually compare outputs from various models, prompts, and settings. It stands out by allowing unlimited side-by-side…

  • Cloud Blog: How Verve achieves 37% performance gains with C4 machines and new GKE features

    Source URL: https://cloud.google.com/blog/products/infrastructure/how-verve-achieves-37-percent-performance-gains-with-new-gke-features-and-c4-deliver/ Source: Cloud Blog Title: How Verve achieves 37% performance gains with C4 machines and new GKE features Feedly Summary: Earlier this year, Google Cloud launched the highly anticipated C4 machine series, built on the latest Intel Xeon Scalable processors (5th Gen Emerald Rapids), setting a new industry-leading performance standard for both Google…

  • Hacker News: AlphaFold 3 Code

    Source URL: https://github.com/google-deepmind/alphafold3 Source: Hacker News Title: AlphaFold 3 Code Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release and implementation details of AlphaFold 3, a state-of-the-art model for predicting biomolecular interactions. It includes how to access the model parameters, terms of use, installation instructions, and acknowledgment of contributors, which…

  • Hacker News: Everything I’ve learned so far about running local LLMs

    Source URL: https://nullprogram.com/blog/2024/11/10/ Source: Hacker News Title: Everything I’ve learned so far about running local LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an extensive exploration of Large Language Models (LLMs), detailing their evolution, practical applications, and implementation on personal hardware. It emphasizes the effects of LLMs on computing, discussions…