Tutorials on Supervised Fine Tuning

Learn about Supervised Fine Tuning from fellow newline community members!

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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
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  • D3
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  • JavaScript
  • TypeScript
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  • Rust
  • Python
  • GraphQL

Fine-Tuning LLM Checklist: 6 Data Failures to Catch Before Your Training Run

The short version: Your SFT run is only as good as the rows you feed it. Most fine-tuning tutorials rush you to the GPU. We'd rather you spend that first stretch on the data, because that's where projects quietly fail. The right dataset is not always the largest one. Review examples for coverage,…
Thumbnail Image of Tutorial Fine-Tuning LLM Checklist: 6 Data Failures to Catch Before Your Training Run
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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Reinforcement Learning Applications for LLM Agents: RFT, DPO, and SFT Compared

Three methods, three data situations. Supervised fine‑tuning (SFT) copies labeled examples. Direct preference optimization (DPO) aligns to ranked “better vs worse” pairs. Reinforcement fine‑tuning (RFT) runs a reward loop that scores outputs and pushes toward the good ones. Most reinforcement…
Thumbnail Image of Tutorial Reinforcement Learning Applications for LLM Agents: RFT, DPO, and SFT Compared
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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