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Generative AI: Use cases, applications, solutions and implementation

Generative AI demonstrates versatile applications across diverse industries, leveraging its capacity to create novel content, simulate human behavior, and generate innovative outputs based on learned patterns.

Decision Intelligence

Decision intelligence: Benefits, applications, implementation, and future trends

Decision Intelligence (DI) is a data-driven approach to decision-making that leverages advanced analytics, machine learning, and artificial intelligence (AI) to empower organizations with actionable insights.

H2O driverless AI platform

How AutoML is transforming AI: The Concept of ‘AI Creating AI’

AI creating AI” through AutoML is transforming the field, expanding beyond human-led processes to make AI development more accessible and efficient.

LLM for structured data

Structured outputs in LLMs: Definition, techniques, applications, benefits

Structured outputs in large language models (LLMs) refer to the ability of these models to generate responses in specific, predefined formats rather than just free-form text.

causalens ai

Causal AI: Importance, use cases, benefits, challenges and implementation strategies

Causal AI is a branch of artificial intelligence focused on understanding and determining cause-and-effect relationships rather than merely identifying patterns or correlations.

ReAct Agents vs Function Calling Agents

ReAct Agents vs Function Calling Agents

ReACT and function calling agents represent two distinct but powerful approaches to extending the capabilities of LLMs, each with its own strengths and weaknesses.

composite ai architecture

Composite AI: Benefits, applications, implementation strategies, best practices, and future prospects

Composite AI refers to an advanced AI approach that integrates multiple artificial intelligence (AI) technologies to create a more sophisticated, flexible, and intelligent system.

Multimodal RAG

Advanced RAG: Architecture, techniques, applications and use cases and development

Advanced RAG builds upon the basic principles of naive RAG by incorporating more sophisticated techniques to enhance retrieval accuracy and contextual relevance.

AI-Ready Data

AI-ready data: Applications, benefits, best practices, and future trends

AI-ready data refers to data that is well-prepared and structured in a manner that maximizes its effectiveness for use in artificial intelligence (AI) applications.

Multi Agent System

Multi-agent system: Types, working, applications and benefits

A multi-agent system (MAS) comprises several autonomous agents that work together to achieve specific goals.

Cloud AI Services

Cloud AI services: A comprehensive guide

Cloud AI services are cloud-based platforms and tools that provide users with prebuilt AI capabilities, infrastructure, and development environments.

Generative AI for HR

Generative AI in HR: Applications, implementations, architecture and benefits

Generative AI empowers HR professionals to concentrate on more strategic issues by automating routine tasks and offering data-driven insights.

AI TRiSM

Exploring AI TRiSM: Need, pillars, framework, use cases, implementation, and future scope

AI TRiSM helps understand and mitigate the risks associated with AI, ensuring compliance with evolving regulations and maintaining the integrity and security of AI systems.