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LoRA — 1️⃣ RAG → hybrid search over internal docs with reranking and...

bashi_fuirkashi · 2026-06-05T08:20:10.000Z · in AI Saves, Vol. 7
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100k ft — What is this?

LoRA — 1️⃣ RAG → hybrid search over internal docs with reranking and...
toolC-tier

50k ft — Why care?

Six Ai Engineer skills, six projects. — @bashi_fuirkashi; uses LoRA; demonstrates API integration, RAG.

10k ft — Key takeaways

(no takeaways yet)

5k ft — Tools & techniques

LoRA API integration, RAG

1k ft — Deep-dive / try it

Six Ai Engineer skills, six projects. 1️⃣ RAG → hybrid search over internal docs with reranking and citations 2️⃣ Agents → orchestration system with tools, memory, and human in the loop 3️⃣ LLMOps → semantic caching layer that cuts your API bill in half 4️⃣ Evals → generator that builds test sets from real production logs 5️⃣ Fine tuning → LoRA pipeline on a domain dataset, base model to benchmark 6️⃣ Guardrails → text to SQL that blocks destructive queries before they run Comment "SKILL" and I will send you the full breakdown for each one + 9 more juanfeliper__   2w Skills
Transcript excerpt
To practice RAG, build this project, to practice agents, build this project, to practice LMOPS, build this project, to practice EVALS, build this project, to practice fine-tuning, build this project, and to practice guardrails, definitely build this project. Comment skills and I'll send you the link on how to build all six of these projects and nine more.

Collection: AI Saves, Vol. 7