Evaluating Large Language Models (LLMs) — Part 2: Key Evaluation ConceptsIn Part 1, we discussed why evaluating LLMs requires a different approach compared to traditional machine learning models. Now, let’s dive…Apr 11Apr 11
Evaluating Large Language Models: A Practical Guide- Part-1Effective LLM evaluation requires an approach that goes beyond traditional machine learning methods, considering real-world usability.Mar 30Mar 30
Productionizing Agentic Applications: Unleashing the Power of Multi-Agent SystemsIn the dynamic world of AI, agentic applications redefine how software interacts with data, users, and systems. These applications leverage…Jan 7Jan 7
Unveiling the Power of Probability: A Deep Dive into Key Concepts and ApplicationsIntroduction Probability and Statistics and there fundamentalsJan 1Jan 1
Fine-Tuning vs Transfer Learning vs Retrieval-Augmented Generation (RAG) vs Prompt EngineeringA Comprehensive Guide to Fine-Tuning, Transfer Learning, RAG, and Prompt EngineeringDec 29, 2024Dec 29, 2024
A Comprehensive Guide to Machine Learning Algorithms: Detailed Concepts, Strengths, and Real-World…Machine learning is the cornerstone of modern artificial intelligence, providing a rich set of algorithms for diverse tasks, including…Dec 25, 2024Dec 25, 2024
Understanding Deep learning Neural Networks: Key Concepts and TechniquesNeural Networks: The Building Blocks of Modern AIDec 22, 2024Dec 22, 2024
A Comprehensive Guide to Natural Language Processing (NLP)Natural Language Processing (NLP) is a crucial domain within artificial intelligence that focuses on enabling machines to comprehend…Dec 18, 2024Dec 18, 2024
A Comprehensive Guide to LLM Evaluation: Building an Effective Scoring SystemScoring system for your next generative application.Dec 16, 2024Dec 16, 2024