Mar 28 · 6 min read · Originally published at adiyogiarts.com TECHNICAL FOUNDATIONS Synthetic Data & LLMs: Preventing Model Collapse in Pre-Training Fig. 1 — Synthetic Data & LLMs: Preventing Model Collapse in Pre-Training Synthetic data is crucial for pre-training Larg...
Join discussionMar 28 · 5 min read · Originally published at adiyogiarts.com RISK ALERT Preventing Model Collapse in LLM Synthetic Data Pipelines Fig. 1 — Preventing Model Collapse in LLM Synthetic Data Pipelines Large Language Models increasingly depend on synthetic data for pre-trai...
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Mar 26 · 8 min read · Build a Real-Time Price Monitor with Python Price monitoring is straightforward in concept and a maintenance nightmare in practice. Anti-bot measures rotate. CSS selectors drift. IP bans accumulate silently. This guide builds a complete system that h...
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Mar 25 · 8 min read · Build the Pipeline First, Optimize the Prompt Second Fetch rendered HTML, strip the noise, convert to markdown or typed JSON, then pass clean content to your agent. Done in that order, this pipeline cuts per-page token costs by 10–50x and eliminates ...
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Mar 25 · 8 min read · Build a Cost-Effective Web Scraping Pipeline for LLM and RAG Applications The biggest quality problem in RAG pipelines isn't the embedding model or the vector store — it's the input data. Raw HTML fed into a chunker produces token-heavy garbage: navi...
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Mar 25 · 9 min read · Web Scraping Pipeline for RAG: Feed Clean Data into Your LLM Without Token Waste Raw HTML is poison for RAG. A typical news article page is 45,000 characters—roughly 11,000 tokens. The actual article is 800 words, or about 1,100 tokens. You are payin...
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Mar 6 · 7 min read · The promise of Artificial Intelligence in the enterprise is immense, but so are its complexities. As we look towards 2025, organizations are grappling with an escalating challenge: how to scale AI initiatives without spiraling costs, all while mainta...
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Jan 29 · 2 min read · Introduction Most real-world AI systems start with data pipelines, not models. Raw data must be ingested, cleaned, transformed, and analyzed before any AI can generate meaningful insights. In this article, I’ll show how to build a simple AI Data Pipe...
Join discussionDec 24, 2025 · 1 min read · No, not everyone is turning into a data engineer—but the need for robust data engineering solutions continues to grow as organizations depend more on AI, analytics, and cloud ecosystems. Businesses across industries require professionals who can desi...
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Dec 19, 2025 · 3 min read · 📜 What Is Real-Time Analytics? Traditional data pipelines operate in batch mode — data is collected, processed, and analysed hours or days later.Real-time analytics changes this model by processing data as it is generated, enabling instant insights ...
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