Tutorials on Advance Rag

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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
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  • JavaScript
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NEW

Sergey Levine Approach to Fine Tuning LLMs

Fine-tuning large language models (LLMs) transforms their capabilities from general knowledge repositories into specialized tools for complex decision-making. By adapting models to specific tasks, industries achieve performance gains that pre-trained models alone cannot match. For example, a…
Thumbnail Image of Tutorial Sergey Levine Approach to Fine Tuning LLMs
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 RAG Systems Fail at Scale

Watch: Why RAG Breaks at Enterprise Scale. And What Comes After - Articul8 by The CTO Advisor Understanding why RAG systems fail at scale is critical for developers and IT professionals tasked with deploying these systems in production environments. The consequences of failure-reduced accuracy,…
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

Self‑Evolving Search to Reduce Hallucinations in RAG

Reducing hallucinations in Retrieval-Augmented Generation (RAG) is critical for maintaining reliability in AI-driven systems. When a model generates false or misleading information, it erodes trust and introduces risks for businesses, developers, and end users. For example, a customer support…
Thumbnail Image of Tutorial Self‑Evolving Search to Reduce Hallucinations in RAG
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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What Is RAG and Its Impact on LLM Performance

RAG (Retrieval-Augmented Generation) significantly boosts the accuracy and relevance of large language models (LLMs) by integrating real-time data retrieval into the generation process. Industry studies show that models using RAG can achieve 20–30% higher recall rates in selecting relevant…
Thumbnail Image of Tutorial What Is RAG and Its Impact on LLM Performance
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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Using Knowledge Graphs to Make Retrieval‑Augmented Generation More Consistent

Knowledge graphs address critical limitations in Retrieval-Augmented Generation (RAG) by introducing structured, context-aware frameworks that reduce ambiguity and enhance consistency. Modern RAG systems often struggle with fragmented knowledge retrieval, leading to responses that contradict each…
Thumbnail Image of Tutorial Using Knowledge Graphs to Make Retrieval‑Augmented Generation More Consistent
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 Use N8N Framework for Effective AI Label Construction

N8N serves as a versatile open-source workflow automation tool, perfectly suited for integrating diverse online services and APIs. It provides flexibility with deployment options both as a cloud service and on-premises, catering to varying infrastructure requirements. This adaptability proves…
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 Implement Inference in AI Using N8N Framework

To set up your n8n environment for AI inference, start by organizing your database and API. A reliable database is essential for managing data effectively. It ensures that your data is stored timely and retrieved accurately. A robust API facilitates seamless data exchanges, which is a critical…
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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Revolutionize Your AI with LLM Optimization | Newline

The realm of AI advancement centers around efficiency and precision. Within this sphere, Language Learning Models (LLMs) hold significant potential. They have become indispensable for approximately 70% of AI professionals, aiding in the optimization of workflows. However, challenges persist,…
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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Inference AI Mastery: Fine-Tuning Language Models Professionally

AI inference and language model fine-tuning are crucial for the accuracy and effectiveness of AI applications. These processes ensure that AI models not only understand but also perform specific tasks with precision. Modern AI systems utilize both robust frameworks and extensive data management…
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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Building AI Applications: Mastery for Business Growth

Artificial intelligence presents tremendous opportunities for businesses aiming to modernize and optimize their operations. It offers the potential to significantly boost operational efficiency, with reported increases of up to 40% . This improvement in efficiency can lead to cost savings and more…
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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AI Inference Optimization: Essential Steps and Techniques Checklist

Understanding your model’s inference requirements is fundamental for optimizing AI systems. Start by prioritizing security. AI applications need robust security measures to maintain data integrity. Each model inference must be authenticated and validated. This prevents unauthorized access and…
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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Leading GPT Prompt Engineering Techniques Compared

Prompt engineering is critical for optimizing the performance of AI language models. The process of crafting precise prompts can lead to significant variations in the results produced by these models. By understanding the subtleties of distinctive prompting techniques, users can enhance the quality…
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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AI for Application Development Essential Validation Steps

In the first phase of validating AI requirements for application development, understanding and defining the problem takes precedence. Every AI application should strive to solve a specific challenge. Start by identifying the objectives of the AI integration within the application. This focus…
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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Advance Your AI Inference Skills: A Deep Dive into Using AI to Analyze Data with N8N Framework

The journey into advanced AI inference reveals a landscape marked by rapid innovation and transformative toolsets. At the forefront of this evolution is N8N, a dynamic framework tailored for building intricate workflows and automating processes crucial for AI inference. As the world progresses…
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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Newline AI Bootcamp vs Traditional Coding Schools: Advance RAG Implementation for Aspiring AI Developers

The comparison between Newline AI Bootcamp and traditional coding schools reveals several critical differences, particularly in their approach to integrating cutting-edge AI technologies like Advance RAG (Retrieval-Augmented Generation). Traditional coding schools often fall short in preparing…
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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Harnessing Advanced Finetuning and RL for Optimal Project Outcomes

In embarking on your journey to master finetuning and reinforcement learning (RL), you will gain valuable insights into some of the most advanced AI strategies employed today. Firstly, we'll delve into Google's AlphaGo and AlphaFold projects, which exemplify the robust capabilities of combining…
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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AI Bootcamp Expertise: Advance Your Skills with RAG and Fine-Tuning LLMs at Newline

In the 'Advance Your Skills with RAG and Fine-Tuning LLMs' Bootcamp, participants will delve deep into the art and science of refining large language models (LLMs), a pivotal skill set for anyone aspiring to excel in the rapidly evolving field of artificial intelligence. Fine-tuning LLMs is not…
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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Top AI Inference Optimization Techniques for Effective Artificial Intelligence Development

Table of Contents AI inference sits at the heart of transforming complex AI models into pragmatic, real-world applications and tangible insights. As a critical component in AI deployment, inference is fundamentally concerned with processing input data through trained models to provide predictions…
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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Optimizing AI Inferences: How to Implement Prompt Engineering in Advance RAG

In the rapidly evolving landscape of artificial intelligence, optimizing AI inferences is pivotal for achieving accurate, up-to-date, and contextually relevant outputs. One of the cornerstone approaches driving these advancements is Retrieval-Augmented Generation (RAG). RAG is an innovative…
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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