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@umesh__digital

Java Developer | Sharing tips, tricks & tutorials on Java , Spring boot, Kafka, Redis and other back end related programming | #Java #Tech

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calendar_today17-05-2025 02:53:45

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RAG Evaluation Metrics β€” explained clearly πŸ§ πŸ“Š Retrieval-Augmented Generation (RAG) isn’t just about better answers β€” it’s about measurable quality. A solid RAG eval splits into Retriever + Generator metrics πŸ‘‡ πŸ” Retriever Evaluation (β‰ˆ90% of system quality) Your LLM can

RAG Evaluation Metrics β€” explained clearly πŸ§ πŸ“Š

Retrieval-Augmented Generation (RAG) isn’t just about better answers β€” it’s about measurable quality. 

A solid RAG eval splits into Retriever + Generator metrics πŸ‘‡

πŸ” Retriever Evaluation (β‰ˆ90% of system quality)
Your LLM can
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If you’re learning Backend in 2026, master these 8 concepts: 1️⃣ REST API design ↓ 2️⃣ Authentication (JWT / OAuth) ↓ 3️⃣ Database indexing ↓ 4️⃣ Caching (Redis) ↓ 5️⃣ Rate limiting ↓ 6️⃣ Logging & monitoring ↓ 7️⃣ Docker basics ↓ 8️⃣ System design fundamentals Frameworks

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I finished ofc job and saw another advancement in AI. Google released Nano Banana 2, and Feb continues to be the mother of AI month this year.

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Fine-Tuning LLMs: Explained Simply (with LoRA, QLoRA & more) Not every model needs full retraining. Modern fine-tuning focuses on efficiency, cost, and speed πŸ‘‡ 🟒 LoRA (Low-Rank Adaptation) β€’ Injects small trainable adapter layers β€’ Base model stays frozen β€’ Faster

Fine-Tuning LLMs: Explained Simply (with LoRA, QLoRA & more)

Not every model needs full retraining. Modern fine-tuning focuses on efficiency, cost, and speed πŸ‘‡

🟒 LoRA (Low-Rank Adaptation)
β€’ Injects small trainable adapter layers
β€’ Base model stays frozen
β€’ Faster
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What is the optimal solution for importing 100 million records from an Excel file into a database? [Asked at Intuit interview]