Tutorials on Fine Tuning Techniques

Learn about Fine Tuning Techniques from fellow newline community members!

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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
  • Apollo
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  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
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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…
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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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GPT-3 vs Traditional NLP: A Newline Perspective on Prompt Engineering

GPT-3 uses a large-scale transformer model. This model predicts the next word when given a prompt. Traditional NLP usually relies on rule-based systems or statistical models. These require manual feature engineering. GPT-3 is thus more adaptable. It needs fewer task-specific adjustments . GPT-3…
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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Top AI Inference Tools for RAG Techniques with Knowledge Graph

AI inference tools are crucial for improving Retrieval-Augmented Generation (RAG) techniques that utilize knowledge graphs. PyTorch, known for supporting dynamic computation graphs, is an effective tool in this domain. It provides the scalability necessary for various model operations, which is…
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
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