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NEW

Fine-Tuning LLMs for AI Inference

When you teach a general-purpose language model medical billing or customer service language, you are not hoping it understands your domain. You are making it do so. Fine-tuning turns vague, hallucination-prone outputs into systems that generate structured data, enforce compliance rules, and match…
Thumbnail Image of Tutorial Fine-Tuning LLMs for AI Inference
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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NEW

From Prompt Engineering to Context Engineering: Better Patterns for Real AI Applications

Most failures in a real AI application trace back to missing or messy context, not a weak model. When a production system "hallucinates," the prompt wording is rarely the culprit. It's what the model could and couldn't see at inference time. That changes how we teach lead developers. Prompt…
Thumbnail Image of Tutorial From Prompt Engineering to Context Engineering: Better Patterns for Real AI Applications
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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NEW

LoRA vs QLoRA for LLM Fine-Tuning: VRAM, Quality, and Deployment Costs

The LoRA vs QLoRA decision comes down to VRAM budget versus quality. LoRA keeps the base model in full precision and trains small adapter matrices on top. It needs more memory, but it recovers most of what full fine-tuning gives you. QLoRA quantizes the frozen model to 4-bit first, which is why it…
Thumbnail Image of Tutorial LoRA vs QLoRA for LLM Fine-Tuning: VRAM, Quality, and Deployment Costs
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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NEW

What Supabase Is Used for in RAG Apps: pgvector, Auth, and Edge Functions for AI Builders

Watch: Supabase Edge Functions Explained by Supabase Supabase suits RAG apps needing pgvector, authentication, and serverless functions together. If you're teaching bootcamp students to build AI apps, it reduces early infrastructure work. One Postgres instance stores application data, embeddings,…
Thumbnail Image of Tutorial What Supabase Is Used for in RAG Apps: pgvector, Auth, and Edge Functions for AI Builders
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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NEW

Stemming vs Lemmatization for LLM Pipelines: What Still Matters for RAG Search in 2025

This preprocessing choice happens before documents are indexed into the vector store. The two methods diverge in execution: one relies on algorithmic truncation rules, the other on grammatical rules to identify the base form of a word. This operational difference directly affects system design.…
Thumbnail Image of Tutorial Stemming vs Lemmatization for LLM Pipelines: What Still Matters for RAG Search in 2025
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:
00
Read Full Article

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