The rise of agentic and generative AI tools, like ChatGPT, has transformed enterprise applications, enhancing nearly every business app with AI capabilities. These tools support the AI development lifecycle, manage data governance, and address security concerns. Variations of generative AI go beyond large language models (LLMs), utilizing techniques such as generative adversarial networks and diffusion for diverse applications like image and audio generation.
Key categories in GenAI development include foundation models, agentic orchestration platforms, business process management (BPM) tools, and cloud GenAI platforms. Businesses also leverage retrieval-augmented generation (RAG) tools to improve model accuracy and mitigate hallucinations via new detection technologies.
As AI data centers grow, the need for optimized infrastructure is crucial. Providers are innovating cost management and AI-specific solutions. Ultimately, successful GenAI strategies depend on understanding these tools and their applications while balancing performance with cost.
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