Paath.online blog
Practical articles for students and builders: Python roadmaps, RAG and hybrid search, LLM evaluation, India AI policy context, and study habits. Written to pair with live 1:1 tutoring—not replace it.
What Anthropic announced for Opus 4.7: GA date, software engineering and vision upgrades, $5/$25 per MTok pricing, API id claude-opus-4-7, safeguards vs Mythos Preview, and how GPT‑5.4 / Gemini 3.1 Pro appear in official chart footnotes.
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Anthropic-sourced overview of Project Glasswing, Claude Mythos Preview as an unreleased frontier model for defensive security work, CyberGym figures on the Glasswing page, risk report + Red Team blog links, and how Opus 4.7 relates to staged safeguards.
Read moreIBM Docling and the docling-project stack for parsing PDFs and office files into structured outputs for RAG—official GitHub, docs, arXiv paper, MCP integration, and links to related Paath guides (Markitdown, hybrid RAG).
Read moreOpenDataLoader’s PDF pipeline from official site and GitHub: goals for reproducible ingestion, benchmark page, and how teams wire it into LangChain-style loaders for local RAG.
Read moreScrapling from D4Vinci: PyPI, Read the Docs, GitHub README—selectors that self-heal when markup changes, plus responsible scraping (robots.txt, terms of use, rate limits).
Read morePlain-language guide to hybrid retrieval for RAG—semantic (vector) vs keyword search, Reciprocal Rank Fusion (RRF) from SIGIR 2009 as documented in Elasticsearch, plus weighted fusion patterns from vector DB docs (Pinecone, Weaviate).
Read moreChain-of-thought style reasoning vs fast answers: what “thinking” modes cost in latency and money, and how to learn without treating leaderboard scores as mastery.
Read moreA calm, practical look at 2026 frontier releases: longer context, stronger tool use, and why fundamentals + evals still beat hype.
Read moreSummarizes Google’s March 2026 AI product updates—Search, Workspace, Maps/Gemini—and what they mean for studying, homework help, and responsible use.
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