Large Language Models (LLMs) Concepts, LLM Use Cases, LLM Examples, LLM Types, List of LLMs, LLM Evaluation, LLM Pricing, LLM FAQs| Analytics Yogi
Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and search engines to code generators and creative writing assistants. Yet behind every seemingly effortless AI conversation lies a sophisticated multi-stage modeling process that transforms raw text into intelligent, task-specific systems capable of human-like understanding and generation. Understanding the LLM modeling stages described later in this blog is crucial to be able...| Analytics Yogi
As Large Language Models (LLMs) evolve into autonomous agents, understanding agentic workflow design patterns has become essential for building robust agentic AI systems. These patterns represent proven architectural approaches that determine how AI agents coordinate, make decisions, and solve complex problems. These design patterns can be used in several use cases including enterprise automation, software development, research analysis, content creation, customer service, and process orchest...| Analytics Yogi
What is data strategy, data strategy for leaders, data strategy for business, data products, data management, data governance| Analytics Yogi
Tutorials, Tests, Interviews, News and Insights on Artificial Intelligence, Machine Learning, Quantum Computing, Blockchain, Cloud Computing, Web, Mobile| Analytics Yogi
In this blog, you would get to know the essential mathematical topics you need to cover to become good at AI & machine learning. These topics are grouped under four core areas including linear algebra, calculus, multivariate calculus and probability theory & statistics. Linear Algebra Linear algebra is arguably the most important mathematical foundation for machine learning. At its core, machine learning is about manipulating large datasets, and linear algebra provides the tools to do this ef...| Analytics Yogi
This blog represents a list of questions you can ask when thinking like a product leader. The topic includes identifying problem & opportunity, getting business impact clarity, understanding different aspects of user experience & design, success & measurement criteria, etc. If you are starting on with an exercise to solve a business problem and therefore exploring and selecting a product, you might find these questions useful. Core Problem & Opportunity Product leaders must first establish a ...| Analytics Yogi
Build AI agents with LangChain & LangGraph: Approaches from prebuilt ReAct to custom implementations. Complete code examples| Analytics Yogi
Embodied AI basics: how intelligent systems with physical bodies perceive, think, & act in the real world. Examples, High level Architecture| Analytics Yogi
Retrieval Augmented Generation, RAG LLM Pattern, LLM RAG Tutorial, RAG LLM Architecture, RAG, LLM, Examples, RAG pattern| Analytics Yogi
Data, Data Science, Machine Learning, Deep Learning, Analytics, Python, R, Tutorials, Tests, Interviews, News, AI| Analytics Yogi
AI Agentic Reasoning Design Patterns, AI Agents, LLM Agents Design Patterns, Design Patterns, LLMs, Large Language Models, Machine Learning| Analytics Yogi
Large Language Models (LLMs) for Adaptive Learning & Personalized Education, Deep Learning, Real-world Examples| Analytics Yogi
Mixture of Experts (MoE) Model, Sparse MoE Model, MoE vs Dense Models, Examples, Transformers, Deep Learning, Machine Learning| Analytics Yogi
ROC Curve, AUC, ROC AUC Curve, ROC AUC Curve Example, Machine Learning, Python Example, Classification Models Evaluation Metrics| Analytics Yogi
Data Science, Machine Learning, Deep Learning, Data Analytics, Python, R, Tutorials, Tests, Interviews, News, AI, Cloud Computing, Web, Mobile| Analytics Yogi
Precision Score, Recall Score, Accuracy Score & F-score as evaluation metrics of machine learning models. Learn with Python examples| Analytics Yogi
Discover self-supervised learning concepts & examples! Learn how it automates labeling & leverages data. Explore real-world applications.| Analytics Yogi
Learn about when to use which evaluation metrics of regression models - MSE, RMSE, MAE, MAPE, R-Squared. Learn with Python & R Code Examples| Analytics Yogi
K-fold cross validation, Stratified K-fold cross validation, Machine Learning Models, Python, Sklearn, Examples| Analytics Yogi
Data Science, Machine Learning, Deep Learning, Data Analytics, Python, R, Tutorials, Tests, Interviews, News, AI, Cloud Computing, Web, Mobile| Analytics Yogi
Lasso Regression Algorithm in Machine Learning, Lasso Python Sklearn Example, Lasso for Feature Selection, Regularization, Tutorial| Analytics Yogi
Difference between Completion model vs Chat model, Python Examples, Completion Model, Chat Model, Completion vs Chat LLM| Analytics Yogi
Application Architecture for LLM Applications, Building applications using LLM, Large Language Models, LLM Applications, Sample Code Examples| Analytics Yogi
Dive into pricing analytics in banking, exploring key strategies, business drivers, Machine Learning, Data Science, AI Models| Analytics Yogi
Learn concepts of Logistic regression in machine learning with real-world, Python code examples. Cost function, Applications| Analytics Yogi