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Tag: model accuracy

  • Simon Willison’s Weblog: DeepSeek_V3.pdf

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    Source URL: https://simonwillison.net/2024/Dec/26/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek_V3.pdf Feedly Summary: DeepSeek_V3.pdf The DeepSeek v3 paper (and model card) are out, after yesterday’s mysterious release of the undocumented model weights. Plenty of interesting details in here. The model pre-trained on 14.8 trillion “high-quality and diverse tokens" (not otherwise documented). Following this, we conduct post-training, including…

  • Hacker News: CleaR: Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Labels

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    Source URL: https://arxiv.org/abs/2411.00873 Source: Hacker News Title: CleaR: Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Labels Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach to Parameter-Efficient Fine-Tuning (PEFT) designed to enhance model performance when working with noisy labeled data. This research is particularly relevant for professionals in AI,…

  • Simon Willison’s Weblog: Quantization matters

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    Source URL: https://simonwillison.net/2024/Nov/23/quantization-matters/#atom-everything Source: Simon Willison’s Weblog Title: Quantization matters Feedly Summary: Quantization matters What impact does quantization have on the performance of an LLM? been wondering about this for quite a while, now here are numbers from Paul Gauthier. He ran differently quantized versions of Qwen 2.5 32B Instruct through his Aider code editing…

  • Hacker News: Llama 3.1 405B now runs at 969 tokens/s on Cerebras Inference

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    Source URL: https://cerebras.ai/blog/llama-405b-inference/ Source: Hacker News Title: Llama 3.1 405B now runs at 969 tokens/s on Cerebras Inference Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses breakthrough advancements in AI inference speed, specifically highlighting Cerebras’s Llama 3.1 405B model, which showcases significantly superior performance metrics compared to traditional GPU solutions. This…

  • Hacker News: Qwen2.5 Turbo extends context length to 1M tokens

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    Source URL: http://qwenlm.github.io/blog/qwen2.5-turbo/ Source: Hacker News Title: Qwen2.5 Turbo extends context length to 1M tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of Qwen2.5-Turbo, a large language model (LLM) that significantly enhances processing capabilities, particularly with longer contexts, which are critical for many applications involving AI-driven natural language…

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

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    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: Efficiency engine: How three startups deliver results faster with Vertex AI

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    Source URL: https://cloud.google.com/blog/topics/startups/how-three-startups-deliver-results-faster-with-vertex-ai/ Source: Cloud Blog Title: Efficiency engine: How three startups deliver results faster with Vertex AI Feedly Summary: Have you heard of the monkey and the pedestal? Astro Teller, the head of Google’s X “moonshot factory,” likes to use this metaphor to describe tackling the biggest challenge first, despite being tempted by the…

  • Hacker News: Using reinforcement learning and $4.80 of GPU time to find the best HN post

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    Source URL: https://openpipe.ai/blog/hacker-news-rlhf-part-1 Source: Hacker News Title: Using reinforcement learning and $4.80 of GPU time to find the best HN post Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of a managed fine-tuning service for large language models (LLMs), highlighting the use of reinforcement learning from human feedback (RLHF)…

  • Hacker News: Implementing neural networks on the "3 cent" 8-bit microcontroller

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    Source URL: https://cpldcpu.wordpress.com/2024/05/02/machine-learning-mnist-inference-on-the-3-cent-microcontroller/ Source: Hacker News Title: Implementing neural networks on the "3 cent" 8-bit microcontroller Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the implementation of a neural network-based inference engine for recognizing handwritten digits (from the MNIST dataset) on extremely low-end microcontrollers, specifically the Padauk 8-bit microcontroller series. It…

  • Hacker News: I want to break some laws too

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    Source URL: https://snats.xyz/pages/articles/breaking_some_laws.html Source: Hacker News Title: I want to break some laws too Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text delves into the exploration of data pruning in AI training, specifically highlighting a project inspired by the Minipile paper that demonstrates the effectiveness of using significantly smaller datasets to achieve…