Experimental News Clipping Site

Tag: model performance

  • Hacker News: Long Convolutions via Polynomial Multiplication

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    Source URL: https://hazyresearch.stanford.edu/blog/2023-12-11-conv-tutorial Source: Hacker News Title: Long Convolutions via Polynomial Multiplication Feedly Summary: Comments AI Summary and Description: Yes Summary: This text delves into the intricacies of long convolutions, particularly in the context of AI models like GPT, and reveals how they can be computed efficiently using concepts from polynomial theory and Fast Fourier…

  • Simon Willison’s Weblog: I can now run a GPT-4 class model on my laptop

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    Source URL: https://simonwillison.net/2024/Dec/9/llama-33-70b/ Source: Simon Willison’s Weblog Title: I can now run a GPT-4 class model on my laptop Feedly Summary: Meta’s new Llama 3.3 70B is a genuinely GPT-4 class Large Language Model that runs on my laptop. Just 20 months ago I was amazed to see something that felt GPT-3 class run on…

  • Hacker News: Task-Specific LLM Evals That Do and Don’t Work

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    Source URL: https://eugeneyan.com/writing/evals/ Source: Hacker News Title: Task-Specific LLM Evals That Do and Don’t Work Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a comprehensive overview of evaluation metrics for machine learning tasks, specifically focusing on classification, summarization, and translation within the context of large language models (LLMs). It highlights the…

  • Simon Willison’s Weblog: New Pleias 1.0 LLMs trained exclusively on openly licensed data

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    Source URL: https://simonwillison.net/2024/Dec/5/pleias-llms/#atom-everything Source: Simon Willison’s Weblog Title: New Pleias 1.0 LLMs trained exclusively on openly licensed data Feedly Summary: New Pleias 1.0 LLMs trained exclusively on openly licensed data I wrote about the Common Corpus public domain dataset back in March. Now Pleias, the team behind Common Corpus, have released the first family of…

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

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    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…

  • Wired: A New Benchmark for the Risks of AI

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    Source URL: https://www.wired.com/story/benchmark-for-ai-risks/ Source: Wired Title: A New Benchmark for the Risks of AI Feedly Summary: MLCommons provides benchmarks that test the abilities of AI systems. It wants to measure the bad side of AI next. AI Summary and Description: Yes Summary: The text discusses MLCommons’ introduction of AILuminate, a new benchmark designed to evaluate…

  • Hacker News: Large Language Models as Markov Chains

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    Source URL: https://arxiv.org/abs/2410.02724 Source: Hacker News Title: Large Language Models as Markov Chains Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a theoretical analysis of large language models (LLMs) by framing them as equivalent to Markov chains. This approach may unveil new insights into LLM performance, pre-training, and generalization, which are…

  • Hacker News: Sei AI (YC W22) Is Hiring an AI/ML Engineer with LLM Exposure

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    Source URL: https://www.ycombinator.com/companies/sei/jobs/TYbKqi0-ai-ml-llm-engineer Source: Hacker News Title: Sei AI (YC W22) Is Hiring an AI/ML Engineer with LLM Exposure Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Sei, an AI-driven regulatory compliance platform actively recruiting AI/ML engineers to enhance its technological abilities and support its rapid growth. The focus on developing…

  • 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,…

  • Hacker News: A statistical approach to model evaluations

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    Source URL: https://www.anthropic.com/research/statistical-approach-to-model-evals Source: Hacker News Title: A statistical approach to model evaluations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a new research paper that proposes statistical recommendations for the reporting of AI model evaluation results, focused on improving the rigor and reliability of assessments in AI research. It highlights…