Tag: inference efficiency
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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…
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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…
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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,…
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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…
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The Cloudflare Blog: Making Workers AI faster and more efficient: Performance optimization with KV cache compression and speculative decoding
Source URL: https://blog.cloudflare.com/making-workers-ai-faster Source: The Cloudflare Blog Title: Making Workers AI faster and more efficient: Performance optimization with KV cache compression and speculative decoding Feedly Summary: With a new generation of data center accelerator hardware and using optimization techniques such as KV cache compression and speculative decoding, we’ve made large language model (LLM) inference lightning-fast…