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NEW

DSPy Prompt Tuning for Forecast Models: A Repeatable Reliability Framework

Forecast inaccuracy is a major growth blocker for data-driven companies right now. When a business can't trust its forward-looking numbers, planning stalls and capital allocation turns into guesswork. That's the business reason to treat prompt reliability as a first-class engineering problem…
Thumbnail Image of Tutorial DSPy Prompt Tuning for Forecast Models: A Repeatable Reliability Framework
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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Why New Line Still Matters for AI Developers in 2026

If you're a mid-career developer eyeing a lead AI role in 2026, here's the short version: a structured, project-based bootcamp built around real applications, taught by people who ship production AI for a living. The table below shows what that path looks like. The 2026 hiring shift is…
Thumbnail Image of Tutorial Why New Line Still Matters for AI Developers in 2026
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

Securing API Keys in AI Coding Projects: A Practical Guide

Securing an API key in an AI coding project takes about 15 to 30 minutes. The dotenv package from npm does most of the work. It reads a .env file and loads those values into process.env before your code runs. Sensitive credentials stay out of version control. You do not always need a cloud secret…
Thumbnail Image of Tutorial Securing API Keys in AI Coding Projects: A Practical Guide
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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How to Run LLMs Locally in 2025: AnythingLLM vs Open WebUI vs Jan

Jan wins for absolute beginners. AnythingLLM fits hardware-constrained learners doing document Q&A. Open WebUI rewards advanced students ready to configure retrieval pipelines. Pick based on your skill tier, not GitHub stars. That matters more than most learners realize. The rule for any project is…
Thumbnail Image of Tutorial How to Run LLMs Locally in 2025: AnythingLLM vs Open WebUI vs Jan
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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`set -o pipefail` for AI Scripts: Catch Broken RAG Jobs Early

Quick Summary set -o pipefail is a one-line Bash setting that makes a pipeline fail if any command in it fails, not just the last one. For RAG scripts, it's the difference between catching a broken ingestion step early and discovering corrupted embeddings after you've already spent hours training.…
Thumbnail Image of Tutorial `set -o pipefail` for AI Scripts: Catch Broken RAG Jobs Early
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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