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simonwillison.net | ||
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www.danieldemmel.me
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| | | | | Part two of the series Building applications using embeddings vector search and Large Language Models | |
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blog.adnansiddiqi.me
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| | | | | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development. | |
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n9o.xyz
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| | | | | In the last year, several machine learning models have become available to the public to generate images from textual descriptions. This has been an interesting development in the AI space. However, just recently did this technology became available for everyone to try. | |
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peterbloem.nl
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| | | [AI summary] The text provides an in-depth overview of the Transformer architecture, its evolution, and its applications. It begins by introducing the Transformer as a foundational model for sequence modeling, highlighting its ability to handle long-range dependencies through self-attention mechanisms. The text then explores various extensions and improvements, such as the introduction of positional encodings, the development of models like Transformer-XL and Sparse Transformers to address the quadratic complexity of attention, and the use of techniques like gradient checkpointing and half-precision training to scale up model size. It also discusses the generality of the Transformer, its potential in multi-modal learning, and its future implications across d... | ||
