Tag: inference efficiency

  • Cloud Blog: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/kakaos-journey-with-jax-and-cloud-tpus/ Source: Cloud Blog Title: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs Feedly Summary: When your messaging platform serves 49 million people – 93% of South Korea’s population – every technical decision carries enormous weight. The engineering team at Kakao faced exactly this challenge when their existing…

  • The Register: How to run OpenAI’s new gpt-oss-20b LLM on your computer

    Source URL: https://www.theregister.com/2025/08/07/run_openai_gpt_oss_locally/ Source: The Register Title: How to run OpenAI’s new gpt-oss-20b LLM on your computer Feedly Summary: All you need is 24GB of RAM, and unless you have a GPU with its own VRAM quite a lot of patience Hands On Earlier this week, OpenAI released two popular open-weight models, both named gpt-oss.…

  • Hacker News: DeepSearcher: A Local open-source Deep Research

    Source URL: https://milvus.io/blog/introduce-deepsearcher-a-local-open-source-deep-research.md Source: Hacker News Title: DeepSearcher: A Local open-source Deep Research Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text outlines the development and functionality of DeepSearcher, an open-source research agent that automates query decomposition, data retrieval, and synthesis of information into detailed reports. It showcases innovations in AI-driven research…

  • The Register: Cloudflare hopes to rebuild the Web for the AI age – with itself in the middle

    Source URL: https://www.theregister.com/2025/02/10/cloudflare_q4_2024_ai_web/ Source: The Register Title: Cloudflare hopes to rebuild the Web for the AI age – with itself in the middle Feedly Summary: Also claims it’s found DeepSeek-eque optimizations that reduce AI infrastructure requirements Cloudflare has declared it’s found optimizations that reduce the amount of hardware needed for inferencing workloads, and is in…

  • OpenAI : Trading inference-time compute for adversarial robustness

    Source URL: https://openai.com/index/trading-inference-time-compute-for-adversarial-robustness Source: OpenAI Title: Trading inference-time compute for adversarial robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness AI Summary and Description: Yes Summary: The text explores the trade-offs between inference-time computing demands and adversarial robustness within AI systems, particularly relevant in the context of machine learning and AI security. This topic holds…

  • Hacker News: Apple collaborates with Nvidia to research faster LLM performance

    Source URL: https://9to5mac.com/2024/12/18/apple-collaborates-with-nvidia-to-research-faster-llm-performance/ Source: Hacker News Title: Apple collaborates with Nvidia to research faster LLM performance Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple has announced a collaboration with NVIDIA to enhance the performance of large language models (LLMs) through a new technique called Recurrent Drafter (ReDrafter). This approach significantly accelerates text generation,…

  • Hacker News: Accelerated AI Inference via Dynamic Execution Methods

    Source URL: https://arxiv.org/abs/2411.00853 Source: Hacker News Title: Accelerated AI Inference via Dynamic Execution Methods Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper discusses innovative Dynamic Execution methods that optimize AI inference by improving computational efficiency and reducing resource demands. These methods can enhance performance in generative AI applications like large language models…

  • Hacker News: Zamba2-7B

    Source URL: https://www.zyphra.com/post/zamba2-7b Source: Hacker News Title: Zamba2-7B Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the architecture and capabilities of Zamba2-7B, an advanced AI model that utilizes a hybrid SSM-attention architecture, aiming for enhanced inference efficiency and performance. Its open-source release invites collaboration within the AI community, potentially impacting research…

  • Simon Willison’s Weblog: lm.rs: run inference on Language Models locally on the CPU with Rust

    Source URL: https://simonwillison.net/2024/Oct/11/lmrs/ Source: Simon Willison’s Weblog Title: lm.rs: run inference on Language Models locally on the CPU with Rust Feedly Summary: lm.rs: run inference on Language Models locally on the CPU with Rust Impressive new LLM inference implementation in Rust by Samuel Vitorino. I tried it just now on an M2 Mac with 64GB…