Experimental News Clipping Site

Tag: NLP

  • Hacker News: Tencent drops a 389B MoE model(Open-source and free for commercial use))

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    Source URL: https://github.com/Tencent/Tencent-Hunyuan-Large Source: Hacker News Title: Tencent drops a 389B MoE model(Open-source and free for commercial use)) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces the Hunyuan-Large model, the largest open-source Transformer-based Mixture of Experts (MoE) model, developed by Tencent, which boasts 389 billion parameters, optimizing performance while managing resource…

  • Hacker News: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges

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    Source URL: https://arxiv.org/abs/2408.13296 Source: Hacker News Title: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges Feedly Summary: Comments AI Summary and Description: Yes Summary: This guide extensively covers the fine-tuning of Large Language Models (LLMs), detailing methodologies, techniques, and practical applications. Its relevance to AI and LLM security professionals is underscored by discussions…

  • Hacker News: Alternatives to cosine similarity

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    Source URL: https://tomhazledine.com/cosine-similarity-alternatives/ Source: Hacker News Title: Alternatives to cosine similarity Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses various methods for comparing vectors, particularly in the context of LLM embeddings, emphasizing the utility of cosine similarity over alternative distance functions like Euclidean and Manhattan distances. It underscores the significance of…

  • Cloud Blog: A multimodal search solution using NLP, BigQuery and embeddings

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    Source URL: https://cloud.google.com/blog/products/data-analytics/multimodel-search-using-nlp-bigquery-and-embeddings/ Source: Cloud Blog Title: A multimodal search solution using NLP, BigQuery and embeddings Feedly Summary: Today’s digital landscape offers a vast sea of information, encompassing not only text, but also images and videos. Traditional enterprise search engines were primarily designed for text-based queries, and often fall short when it comes to analyzing…