Tag: inference speed

  • The Register: Nvidia won the AI training race, but inference is still anyone’s game

    Source URL: https://www.theregister.com/2025/03/12/training_inference_shift/ Source: The Register Title: Nvidia won the AI training race, but inference is still anyone’s game Feedly Summary: When it’s all abstracted by an API endpoint, do you even care what’s behind the curtain? Comment With the exception of custom cloud silicon, like Google’s TPUs or Amazon’s Trainium ASICs, the vast majority…

  • Hacker News: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator

    Source URL: https://sepllm.github.io/ Source: Hacker News Title: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel framework called SepLLM designed to enhance the performance of Large Language Models (LLMs) by improving inference speed and computational efficiency. It identifies an innovative…

  • Hacker News: Looking Back at Speculative Decoding

    Source URL: https://research.google/blog/looking-back-at-speculative-decoding/ Source: Hacker News Title: Looking Back at Speculative Decoding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in large language models (LLMs) centered around a technique called speculative decoding, which significantly improves inference times without compromising output quality. This development is particularly relevant for professionals in…

  • Hacker News: Building a personal, private AI computer on a budget

    Source URL: https://ewintr.nl/posts/2025/building-a-personal-private-ai-computer-on-a-budget/ Source: Hacker News Title: Building a personal, private AI computer on a budget Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text details the author’s experience in building a personal, budget-friendly AI computer capable of running large language models (LLMs) locally. It highlights the financial and technical challenges encountered during…

  • Hacker News: Running DeepSeek R1 Models Locally on NPU

    Source URL: https://blogs.windows.com/windowsdeveloper/2025/01/29/running-distilled-deepseek-r1-models-locally-on-copilot-pcs-powered-by-windows-copilot-runtime/ Source: Hacker News Title: Running DeepSeek R1 Models Locally on NPU Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in AI deployment on Copilot+ PCs, focusing on the release of NPU-optimized DeepSeek models for local AI application development. It highlights how these innovations, particularly through the use…

  • Hacker News: Has DeepSeek improved the Transformer architecture

    Source URL: https://epoch.ai/gradient-updates/how-has-deepseek-improved-the-transformer-architecture Source: Hacker News Title: Has DeepSeek improved the Transformer architecture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the innovative architectural advancements in DeepSeek v3, a new AI model that boasts state-of-the-art performance with significantly reduced training times and computational demands compared to its predecessor, Llama 3. Key…

  • Hacker News: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens

    Source URL: https://qwenlm.github.io/blog/qwen2.5-1m/ Source: Hacker News Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reports on the new release of the open-source Qwen2.5-1M models, capable of processing up to one million tokens, significantly improving inference speed and model performance…

  • Hacker News: A Replacement for Bert

    Source URL: https://huggingface.co/blog/modernbert Source: Hacker News Title: A Replacement for Bert Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the introduction of ModernBERT, an advanced encoder-only model that surpasses older models like BERT in both performance and efficiency. Boasting an increased context length of 8192 tokens, faster processing…

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

    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…

  • Simon Willison’s Weblog: Claude 3.5 Haiku price drops by 20%

    Source URL: https://simonwillison.net/2024/Dec/5/claude-35-haiku-price-drops-by-20/#atom-everything Source: Simon Willison’s Weblog Title: Claude 3.5 Haiku price drops by 20% Feedly Summary: Claude 3.5 Haiku price drops by 20% Buried in this otherwise quite dry post about Anthropic’s ongoing partnership with AWS: To make this model even more accessible for a wide range of use cases, we’re lowering the price…