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Beyond Basic RAG: Self-RAG, CRAG, and RA-DIT Patterns That Actually Improve Retrieval

The short version: Basic RAG follows a rigid sequence: retrieve k passages, insert them into the prompt, generate an answer. The weakness often sits in that fixed sequence, not in the retriever. The RAG survey describes the shift from basic retrieval to modular and adaptive designs. Self-RAG offers…
Thumbnail Image of Tutorial Beyond Basic RAG: Self-RAG, CRAG, and RA-DIT Patterns That Actually Improve Retrieval
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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Find vs Grep for AI Coding Workflows: Why Grep Still Beats Plain Search for Agent Debugging

Watch: Debug Retrieval (Grep, Web Search) Before You Debug the LLM by Isaac Flath Ask grep to find getUserName across a large codebase and it scans every line sequentially. Ask ripgrep to do the same job and it often finishes faster—parallelized work, automatic .gitignore respect. That gap stops…
Thumbnail Image of Tutorial Find vs Grep for AI Coding Workflows: Why Grep Still Beats Plain Search for Agent Debugging
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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Stable-Baselines3 vs QLoRA: When to Train an Agent or Fine-Tune an LLM

Before we get into it, the short version: Stable Baselines3 trains reinforcement learning agents through trial and error in simulated environments. QLoRA fine-tunes large language models using labeled input-output pairs to reshape text generation behavior. The two address fundamentally different…
Thumbnail Image of Tutorial Stable-Baselines3 vs QLoRA: When to Train an Agent or Fine-Tune an LLM
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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When nangcuctv needs custom LLMs: Fine‑tune with MindsDB v26.0.0

Relying on a general-purpose LLM for lesson generation or quiz creation means you are running the same model as every other education platform: same capabilities, same generic voice, same cost per token. Generic large language models handle broad knowledge tasks well, but they do not understand…
Thumbnail Image of Tutorial When nangcuctv needs custom LLMs: Fine‑tune with MindsDB v26.0.0
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
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6 Fine-Tuning LLM Frameworks Ranked by Speed, Memory, and GPU Needs

Six training frameworks are covered here: Axolotl, DeepSpeed, Megatron-LM, PyTorch Lightning Fabric, Torchtune, and Unsloth. Available benchmarks don't line up across them. Speed comparisons come from reported throughput tests; memory figures reflect documented VRAM ranges for LoRA, QLoRA, and full…
Thumbnail Image of Tutorial 6 Fine-Tuning LLM Frameworks Ranked by Speed, Memory, and GPU Needs
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
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