Stop fine-tuning LLMs for docs, use RAG
intlayer.org·14h·
🤖Archive Automation
Automated Granular Keyword Clustering for Hyper-Targeted SEM Campaign Optimization
dev.to·22h·
Discuss: DEV
🔍BitFunnel
LLM Rerankers for RAG: A Practical Guide
fin.ai·2d·
🔍Information Retrieval
RAG FOR DUMMIES
dev.to·2d·
Discuss: DEV
🔍Information Retrieval
Exploring Metric Fusion for Evaluation of NeRFs
arxiv.org·8h
📊Learned Metrics
BiLSTM-VHP: BiLSTM-Powered Network for Viral Host Prediction
arxiv.org·1d
🧮Kolmogorov Complexity
Dynamic Relational Priming Improves Transformer in Multivariate Time Series
arxiv.org·1d
🧠Machine Learning
Semantic Dictionary Encoding
falvotech.com·1d·
Discuss: Hacker News
🌀Brotli Dictionary
Learn How to Use Transformers with HuggingFace and SpaCy
towardsdatascience.com·1d
🎯Dependent Parsing
Surrogate Representation Inference for Noisy Text and Image Annotations
arxiv.org·8h
📊Learned Metrics
Leveraging Large Language Models to Effectively Generate Visual Data for Canine Musculoskeletal Diagnoses
arxiv.org·8h
🤖Advanced OCR
Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
arxiv.org·8h
🎯Content Recommendation
Language Models Pack Billions of Concepts into 12,000 Dimensions
nickyoder.com·2d·
🧮Kolmogorov Complexity
SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
arxiv.org·1d
🕸️Graph Embeddings
Learning Neural Networks by Neuron Pursuit
arxiv.org·1d
🧠Machine Learning
LLMs as Retrieval and Recommendation Engines
medium.com·4d·
Discuss: Hacker News
🔍Information Retrieval