Experimental News Clipping Site

Tag: dataset

  • Hacker News: 32k context length text embedding models

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    Source URL: https://blog.voyageai.com/2024/09/18/voyage-3/ Source: Hacker News Title: 32k context length text embedding models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the launch of the Voyage 3 series embedding models, which provide significant advancements in retrieval quality, latency, and cost-effectiveness compared to existing models like OpenAI’s. Specifically, the Voyage 3 models…

  • Simon Willison’s Weblog: Weeknotes: asynchronous LLMs, synchronous embeddings, and I kind of started a podcast

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    Source URL: https://simonwillison.net/2024/Nov/22/weeknotes/#atom-everything Source: Simon Willison’s Weblog Title: Weeknotes: asynchronous LLMs, synchronous embeddings, and I kind of started a podcast Feedly Summary: These past few weeks I’ve been bringing Datasette and LLM together and distracting myself with a new sort-of-podcast crossed with a live streaming experiment. Project: interviewing people about their projects Datasette Public Office…

  • Hacker News: LLäMmlein 1B and 120M – German-only decoder models

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    Source URL: https://www.informatik.uni-wuerzburg.de/datascience/projects/nlp/llammlein/ Source: Hacker News Title: LLäMmlein 1B and 120M – German-only decoder models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the development of two German-only decoder models, LLäMmlein 120M and 1B, highlighting their competitive performance against state-of-the-art models. This is particularly relevant for professionals in AI security and…

  • Hacker News: Bayesian Neural Networks

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    Source URL: https://www.cs.toronto.edu/~duvenaud/distill_bayes_net/public/ Source: Hacker News Title: Bayesian Neural Networks Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Bayesian Neural Networks (BNNs) and their ability to mitigate overfitting and provide uncertainty estimates in predictions. It contrasts standard neural networks, which are flexible yet prone to overfitting, with BNNs that utilize Bayesian…

  • Hacker News: WhisperNER: Unified Open Named Entity and Speech Recognition

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    Source URL: https://arxiv.org/abs/2409.08107 Source: Hacker News Title: WhisperNER: Unified Open Named Entity and Speech Recognition Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces WhisperNER, a novel model that integrates named entity recognition (NER) with automatic speech recognition (ASR) to enhance transcription accuracy and informativeness. This integration is particularly relevant for AI…

  • Hacker News: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders

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    Source URL: https://github.com/PaulPauls/llama3_interpretability_sae Source: Hacker News Title: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a research project focused on the interpretability of the Llama 3 language model using Sparse Autoencoders (SAEs). This project aims to extract more clearly interpretable features from…

  • Wired: New York Times Says OpenAI Erased Potential Lawsuit Evidence

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    Source URL: https://www.wired.com/story/new-york-times-openai-erased-potential-lawsuit-evidence/ Source: Wired Title: New York Times Says OpenAI Erased Potential Lawsuit Evidence Feedly Summary: As part of an ongoing copyright lawsuit, The New York Times says it spent 150 hours sifting through OpenAI’s training data looking for potential evidence—only for OpenAI to delete all of its work. AI Summary and Description: Yes…

  • Simon Willison’s Weblog: OK, I can partly explain the LLM chess weirdness now

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    Source URL: https://simonwillison.net/2024/Nov/21/llm-chess/#atom-everything Source: Simon Willison’s Weblog Title: OK, I can partly explain the LLM chess weirdness now Feedly Summary: OK, I can partly explain the LLM chess weirdness now Last week Dynomight published Something weird is happening with LLMs and chess pointing out that most LLMs are terrible chess players with the exception of…

  • Hacker News: Listen to the whispers: web timing attacks that work

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    Source URL: https://portswigger.net/research/listen-to-the-whispers-web-timing-attacks-that-actually-work Source: Hacker News Title: Listen to the whispers: web timing attacks that work Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text introduces novel web timing attack techniques capable of breaching server security by exposing hidden vulnerabilities, misconfigurations, and attack surfaces more effectively than previous methods. It emphasizes the practical…

  • Hacker News: OK, I can partly explain the LLM chess weirdness now

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    Source URL: https://dynomight.net/more-chess/ Source: Hacker News Title: OK, I can partly explain the LLM chess weirdness now Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text explores the unexpected performance of the GPT-3.5-turbo-instruct model in playing chess compared to other large language models (LLMs), primarily focusing on the effectiveness of prompting techniques, instruction…