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Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic
Real deployments rarely fit the topic-level picture. The same base model may be adapted for a general assistant, an educational product, an enterprise system, or a public-sector service, and each setting needs different boundaries within the same topic. A civics tutor and a public-sector assistant can share a model ye…
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Reporter: NHAM QUOC HUAN · NLP Labs Vietnam NLP Labs Vietnam builds a RAG-based solar PV advisory using LlamaIndex. Our pipeline ingests Vietnamese solar technical documents (PDFs, Word files from MOIT/EVN). We want to contribute a Vietnamese document processing example. 1. PDF font handling for Vietnamese diacritics…
run-llama/llama_indexAbout 4 hrRAG自然语言处理
Cross-checked · GitHub Good First Issues · aiVerified Oct 31, 2026
Open sourceAI·BeginnerReady to start
Reporter: NHAM QUOC HUAN · NLP Labs Vietnam We ingest Vietnamese solar technical PDFs (MOIT/EVN) for our RAG advisory pipeline. Key insight: word-segmenting Vietnamese text before chunking improves retrieval precision by ~15% vs raw chunking. Also important: Vietnamese PDFs with tone marks require pypdf (not pdfminer)…
run-llama/llama_indexAbout 4 hrRAG自然语言处理
Cross-checked · GitHub Good First Issues · aiVerified Oct 31, 2026
Open sourceAI·BeginnerReady to start
Measured on llama-index-core 0.14.24, SQLite via aiosqlite, macOS arm64, Python 3.12, with the open MIT suite agmi (https://github.com/tech4biz-yasha/agmi, row llamaindex-memory-sqlite). Method: seed a session through Memory.aput_messages(), apply one edit directly to the llama_index_memory table with no keys, open a…
run-llama/llama_indexAbout 4 hr数据库大模型
Cross-checked · GitHub Good First Issues · aiVerified Oct 31, 2026
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Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
Google DeepMindPublished Oct 28, 2026
Official source · Google DeepMind BlogVerified Oct 31, 2026