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  • React
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NEW

Rust AI Apps with Rig: Connect Ollama, RAG, and Tool Calls

A RAG service (retrieval-augmented generation, where the model answers from your own documents) built with Rust and Rig can have a much smaller runtime memory footprint than an equivalent Python LangChain server in many local-serving setups. Rust’s lack of garbage-collection pauses can also help…
Thumbnail Image of Tutorial Rust AI Apps with Rig: Connect Ollama, RAG, and Tool Calls
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

Execution Context for Cursor, Claude Code, and Codex CLI: A Workflow That Keeps AI Coding on Track

Execution context is what lets an AI coding agent reason from the same picture of your project across every prompt. Lose it, and the agent forgets which files it touched, re-reads code it already understood, and burns tokens rebuilding a mental model you already paid for. For a multi-file refactor…
Thumbnail Image of Tutorial Execution Context for Cursor, Claude Code, and Codex CLI: A Workflow That Keeps AI Coding on Track
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

Reproducing QLoRA: NF4 Fine-Tuning with Unsloth and LLaMA-Factory

Reproducing QLoRA stopped being a research curiosity once 4-bit fine-tuning became a common way teams ship custom models. This block is your scoping sheet: hardware, software stack, time-to-train, and where Unsloth and LLaMA-Factory each fit. Read it like a capstone plan, not a demo. The paper…
Thumbnail Image of Tutorial Reproducing QLoRA: NF4 Fine-Tuning with Unsloth and LLaMA-Factory
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

Reinforcement Learning Examples Behind Modern LLMs: RLHF, RLAIF, and CodeRL in Practice

Supervised fine-tuning (SFT) trains a model on curated prompt-and-answer examples. It stops short once the model leaves the demo and meets real users. SFT gives the model examples to copy. It does not teach the model to rank competing answers, refuse unsafe requests, or handle prompts with multiple…
Thumbnail Image of Tutorial Reinforcement Learning Examples Behind Modern LLMs: RLHF, RLAIF, and CodeRL in Practice
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

ESLint Setup for Cursor and GitHub Copilot: Project Rules That Stop AI Code Drift

Before we get into it, the short version: Here's the whole workflow at a glance before you commit an afternoon to it. This ESLint setup for AI-assisted projects hinges on a lint config plus instruction files that your assistant can consult. Wire those up and your linter can stop being a passive…
Thumbnail Image of Tutorial ESLint Setup for Cursor and GitHub Copilot: Project Rules That Stop AI Code Drift
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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