How Retrieval Algorithms Shape Better LLM Responses?
dev.to·20h·
Discuss: DEV
🧮Vector Embeddings
Learning ON Large Datasets Using Bit-String Trees
arxiv.org·17h
🗂️Vector Databases
Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
arxiv.org·17h
🧮Vector Embeddings
Improving Search for Deep Research Agents
vishnudut.com·23h·
Discuss: Hacker News
🧠Query Planners
Engineering stories behind the Medium Daily Digest Algorithm: Part 1
medium.engineering·9h
📰RSS Reading Practices
k-NN Classification and Model Evaluation
dev.to·13h·
Discuss: DEV
🧠Machine Learning
Google’s URL Context Grounding: Another Nail in RAG’s Coffin?
towardsdatascience.com·8h
🌀Brotli Internals
Learn how Amazon Health Services improved discovery in Amazon search using AWS ML and gen AI
aws.amazon.com·2h
👤Search Personalization
An Auditable Pipeline for Fuzzy Full-Text Screening in Systematic Reviews: Integrating Contrastive Semantic Highlighting and LLM Judgment
arxiv.org·1d
🔗Document Similarity
Using Real Survey Data to Create Authentic AI Personas for Extended Research
askrally.com·8h·
Discuss: Hacker News
🏛Digital humanities
Paradigms of Intelligence Team
github.com·7h·
Discuss: Hacker News
🔲Cellular Automata
Feature-Refined Unsupervised Model for Loanword Detection
arxiv.org·17h
📏Manuscript Metrics
Elasticsearch Explained with Real-Life Example: Why It Beats SQL for Search
blog.devops.dev·1d
🚀Query Optimization
How to Summarize Huge Documents with LLMs: Beyond Token Limits and Basic Prompts
dev.to·1h·
Discuss: DEV
📝Text Compression
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization
arxiv.org·17h
🧮Kolmogorov Bounds
RoMedQA: The First Benchmark for Romanian Medical Question Answering
arxiv.org·1d
🌀Brotli Internals
THEME : Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics
arxiv.org·17h
🧮Vector Embeddings
MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs
arxiv.org·17h
🧮Kolmogorov Complexity
Agri-Query: A Case Study on RAG vs. Long-Context LLMs for Cross-Lingual Technical Question Answering
arxiv.org·17h
⚙️Compression Benchmarking
QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting
arxiv.org·17h
🌀Brotli Internals