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blog.reachsumit.com | ||
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blog.vespa.ai
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| | | | | This is the first blog post in a series of posts where we introduce using pretrained Transformer models for search and document ranking with Vespa.ai. | |
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unstructured.io
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| | | | | Navigate the Massive Text Embedding Benchmark (MTEB) leaderboard with confidence! Understand the difference between Bi-Encoders and Cross-Encoders, learn how text embedding models are pre-trained and benchmarked, and how to make the best choice for your specific use case. | |
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haifengl.wordpress.com
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| | | | | Generative artificial intelligence (GenAI), especially ChatGPT, captures everyone's attention. The transformerbased large language models (LLMs), trained on a vast quantity of unlabeled data at scale, demonstrate the ability to generalize to many different tasks. To understand why LLMs are so powerful, we will deep dive into how they work in this post. LLM Evolutionary Tree... | |
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www.binding-problem.com
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| | | [AI summary] The user's query is a complex and multifaceted exploration of the binding problem in cognitive science, neuroscience, and philosophy. The query includes a detailed list of resources, theories, and discussions surrounding the binding problem, including references to panpsychism, neural synchrony, attention, and multisensory integration. The user also mentions a concept referred to as 'micro-experiential zombie binding-problem.com,' which appears to be a hypothetical or fictional reference to an entity or concept related to the binding problem. The user may be seeking a comprehensive overview of the binding problem, its theoretical models, and its implications across different disciplines. The query also includes a mix of academic references, phil... | ||
