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Understanding Agentic AI: A Comprehensive Exploration Agentic AI is a captivating concept at the intersection of artificial intelligence and cognitive science, transcending traditional AI systems with its focus on autonomy, initiative, and decision-making capabilities. In this article, we’ll delve into what defines Agentic AI, its theoretical foundations, practical applications, associated challenges, and future directions. Whether you’re a developer keen on the latest AI paradigms or simply curious about the evolution of intelligent systems, this comprehensive guide will give you a solid grounding in Agentic AI. ...

Understanding Base vs Instruct Variants in Machine Learning Models As machine learning continues to evolve, developers frequently encounter different model variants suited for diverse tasks. Two common types you’ll often come across are base models and instruct models (also known as instruct-tuned models). Understanding the key differences between these variants can help you better select and tailor models for specific applications. In this blog post, we will take a closer look at these two variants, exploring their unique characteristics, applications, and nuances. ...

Fine-Tuning a Closed Source LLM like ChatGPT: A Step-by-Step Guide In the realm of machine learning, fine-tuning a language model can significantly enhance its ability to perform specific tasks or understand particular contexts. In this blog post, we’ll explore how to fine-tune a closed-source language model like OpenAI’s ChatGPT. While direct access to the model’s parameters isn’t available as it might be with open-source models, fine-tuning it using your own dataset is still achievable. ...