Retrieval Augmented Generation, Vector Search, Embeddings, Context

My dumb prompts that worked better
blog.nilenso.comยท1d
๐Ÿ’ฌPrompt Engineering
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Variational Geometric Information Bottleneck: Learning the Shape of Understanding
arxiv.orgยท11h
๐ŸงฎEmbeddings
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LA-MARRVEL: A Knowledge-Grounded and Language-Aware LLM Reranker for AI-MARRVEL in Rare Disease Diagnosis
arxiv.orgยท11h
๐Ÿš€MLOps
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Building MeridianDB: Solving AI's Memory Crisis with Multi-Dimensional RAG
dev.toยท7hยท
Discuss: DEV
๐Ÿ“ฑEdge AI
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Spatial Secrets: Unleashing Language Models with Unexpected Masking by Arvind Sundararajan
dev.toยท1dยท
Discuss: DEV
๐ŸงฎEmbeddings
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[R] Knowledge Graph Traversal With LLMs And Algorithms
reddit.comยท17hยท
๐Ÿ•ธ๏ธKnowledge Graphs
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Extracting the Benefits of the Duo: Tableau and R
dev.toยท11hยท
Discuss: DEV
๐Ÿ“ŠData Science
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A Privacy-First AI Voice Cloning Tool with Local LLMs
dev.toยท12hยท
Discuss: DEV
๐Ÿ“šTechnical Writing
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Beyond Scarcity: How LLM-Driven Synthetic Data Generation is Reshaping AI
pub.towardsai.netยท10h
๐Ÿ’ฌPrompt Engineering
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KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation
arxiv.orgยท11h
๐Ÿ’ฌPrompt Engineering
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Deciphering Human Language for Machines: A Developer's Guide to NLP
dev.toยท11hยท
Discuss: DEV
๐Ÿ’ฌNatural Language Processing
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STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack
arxiv.orgยท1d
๐ŸŒณTree-sitter
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Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
arxiv.orgยท11h
๐ŸŒณTree-sitter
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Synthesized Generative Modeling via Graph-Constrained Semantic Embedding
dev.toยท2dยท
Discuss: DEV
๐Ÿ“ฑEdge AI
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ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation
arxiv.orgยท1d
๐Ÿ”€Procedural Generation
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Two-Parameter R\'enyi Information Quantities with Applications to Privacy Amplification and Soft Covering
arxiv.orgยท11h
๐Ÿ“ŠInformation Theory
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Building Your Own LLM-Powered Sports Analyst: A RAG Approach with Fine-tuning
dev.toยท4hยท
Discuss: DEV
๐Ÿš€MLOps
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ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus
arxiv.orgยท1d
๐Ÿ’ฌPrompt Engineering
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Title: LLMs for Your Business: Is it Better to Retrain the Brain or Give it an Open Book? (RAG vs. Fine-Tuning)
dev.toยท1dยท
Discuss: DEV
๐Ÿ’ฌPrompt Engineering
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Un-Attributability: Computing Novelty From Retrieval & Semantic Similarity
arxiv.orgยท2d
๐ŸŒณTree-sitter
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