Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports
arxiv.org·15h
🤖Machine Learning
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
📊Embeddings
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
📊Embeddings
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Imperfect Language, Artificial Intelligence, and the Human Mind: An Interdisciplinary Approach to Linguistic Errors in Native Spanish Speakers
arxiv.org·15h
📊Embeddings
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
towardsdatascience.com·23h
📊Embeddings
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Identifying the Periodicity of Information in Natural Language
arxiv.org·1d
📊Embeddings
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AI Summarization Optimization
♟️Alpha-Beta Pruning
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STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack
arxiv.org·15h
📊Embeddings
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Large language models still struggle to tell fact from opinion, analysis finds
techxplore.com·5h
🤖Machine Learning
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AI Function Calling: Composing and Decomposing Functions for Complex Tasks
♟️Alpha-Beta Pruning
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Complex QA and language models hybrid architectures, Survey
arxiv.org·15h
📊Embeddings
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How AI is helping us monitor and support vulnerable ecosystems
phys.org·6h
🤖Machine Learning
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Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once
venturebeat.com·4h
🗄️Database Sharding
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Building a tool to normalize messy support chat data for fine-tuning - would this help you?
🌐WebAssembly
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7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
machinelearningmastery.com·1d
🤖Machine Learning
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·1d
🤖Machine Learning
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