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🔍 Information Extraction
Specific
entity recognition, NER, structured extraction, text mining
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155
posts in
32.6
ms
GLiNER2-PII: 0.3B open-source PII model outperforms OpenAI's Privacy Filter
📊
Self-Hosted Analytics
pioneer.ai
·
6d
·
Hacker News
Show HN: Udoc.
Dependency-free
document
extraction
in Rust
🎖
Text Quality Models
newelh.github.io
·
5h
·
Hacker News
From BERT to T5: A Study of
Named
Entity
Recognition
📚
RAG
arxiv.org
·
2d
LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory
🧠
Obsidian
gist.github.com
·
23h
·
Hacker News
Show HN: Sentinel – browser agent using 3x+ fewer tokens (open benchmark)
🪝
eBPF
github.com
·
1d
·
Hacker News
Benchmarking Subquadratic's latest model and SSA Kernel
📱
Edge AI Optimization
appen.com
·
6d
·
Hacker News
Show HN: Marlin-2B: a tiny VLM to
extract
structured
information
from videos
✨
Gemini
huggingface.co
·
2d
·
Hacker News
Context-aware
Entity-Relation
Extraction
for Threat Intelligence Knowledge Graphs
🕸️
Knowledge Graphs
arxiv.org
·
3d
robertoranon/tokoro: A toolbox for building
event
publish & discovery web sites, apps, feeds, and more
🕷️
Web Crawling
github.com
·
1d
·
Hacker News
JSON logging isn't enough anymore: A deep dive into OTel Logs
🔍
Feed Discovery
dash0.com
·
3d
·
Hacker News
LLM-Based Financial Sentiment Analysis in Arabic: Evidence from Saudi Markets
✨
LLMs
arxiv.org
·
1d
Comparing Context Retrieval Approaches for AI Code Review
🧠
Obsidian
comparethemarketcareers.com
·
5d
·
Hacker News
Why our AI agent needed a causal
graph
, not just a RAG
database
🔍
AI Interpretability
openyf.dev
·
3d
·
Hacker News
PASC: Pipeline-Aware Conformal Prediction with Joint Coverage Guarantees for Multi-Stage NLP and LLM Pipelines
🤖
LLM
arxiv.org
·
1d
How I Built a RAG System With a 7-Million-Node
Knowledge
Graph
(And Why Vector Search Alone Isn't Enough)
⚙️
MLOps
github.com
·
3d
·
DEV
,
Hacker News
RAPT: Retrieval-Augmented Post-hoc Thresholding for Multi-Label Classification
🔍
Information Retrieval
arxiv.org
·
2d
HarinezumIgel/RAG-LCC: A hands‑on RAG experimentation lab. Largely configurable with debug insights. Classification‑driven corpus construction, filter chains, document loading, chat interaction, Open WebUI integration. Experimental by design and not production‑ready.
📚
RAG
github.com
·
5d
·
Hacker News
Scalable Uncertainty Reasoning in
Knowledge
Graphs
🕸️
Knowledge Graphs
arxiv.org
·
2d
xemantic/markanywhere: Incremental Markdown
parser
that emits streams of semantic
events
, plus tools to manipulate them — designed for real-time rendering of streamed LLM output.
📋
Markdown
github.com
·
5d
·
Hacker News
HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone
✨
Gemini
arxiv.org
·
2d
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