Latest Tutorials

Learn about the latest technologies from fellow newline community members!

  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
  • Apollo
  • Storybook
  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL
  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
  • Apollo
  • Storybook
  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL
NEW

Why Hyperparameter Tuning Beats LoRA Choices in LLM Fine‑Tuning

Hyperparameter tuning beats LoRA configuration changes on most fine-tuning runs. When a run won't converge or underperforms, the culprit is almost always learning rate, batch size, scheduler, warmup, or data quality. It's rarely the rank you picked. Think of LoRA as a structural constraint. It…
Thumbnail Image of Tutorial Why Hyperparameter Tuning Beats LoRA Choices in LLM Fine‑Tuning
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
NEW

RAG-Token vs DoRA for Learning Agents

These two methods solve different problems that have held back learning agents for years. RAG-Token keeps answers factual by pulling fresh information at the token level. DoRA adapts large models for a fraction of the usual compute. Run them together and you get an agent that updates fast and…
Thumbnail Image of Tutorial RAG-Token vs DoRA for Learning Agents
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

I got a job offer, thanks in a big part to your teaching. They sent a test as part of the interview process, and this was a huge help to implement my own Node server.

This has been a really good investment!

Advance your career with newline Pro.

Only $40 per month for unlimited access to over 60+ books, guides and courses!

Learn More
NEW

When to Use PCA Over t‑SNE for High‑Dim Data

Watch: Lecture 2.3.5C: Dimensionality Reduction TH (PCA, t-SNE, UMAP) | Masters in Health Data Science by Universal Digital Health Choosing between PCA and t-SNE comes down to what you need to explain. One maps your data through direct algebraic transformations. The other arranges points in space…
Thumbnail Image of Tutorial When to Use PCA Over t‑SNE for High‑Dim Data
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
NEW

How Deep Q Learning Improves AI Inferences

Deep Q Learning (DQL) is a cornerstone of modern AI because it merges the strengths of deep neural networks with reinforcement learning, enabling systems to make optimal decisions in complex, dynamic environments. By learning from interactions rather than relying on pre-programmed rules, DQL allows…
Thumbnail Image of Tutorial How Deep Q Learning Improves AI Inferences
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
NEW

How to Fine Tune Deep Q Learning Models

Watch: 🤖Andrew Tate Explains Q-Learning by Lazy Programmer Fine-tuning Deep Q Learning (DQL) models is critical for bridging the gap between theoretical performance and real-world effectiveness. By adjusting pre-trained policies to new environments or tasks, practitioners can enable significant…
Thumbnail Image of Tutorial How to Fine Tune Deep Q Learning Models
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

Email Newsletter

Free tutorials and tips delivered every week.

Trusted by 100,000+ developers!

Popular Topics