Summary

The video discusses the increasing importance of generative AI in enterprise applications, highlighting that 80% of enterprises will adopt some form of AI by 2026. It emphasizes the ease of getting started with AI development and outlines the steps for building and deploying AI-powered applications.

Key Points

• Gartner reports that 80% of enterprises will adopt AI technologies by 2026.
• Developers can easily start building applications with generative AI.
• The three main steps in the AI development journey are:
• Ideation and experimentation.
• Building the application.
• Operationalizing the application.
• Start by identifying a specialized use case and researching appropriate AI models.
• Understand model size, performance, and benchmark tools to evaluate options.
• Self-hosting models can be more cost-effective than cloud-based solutions.
• Familiarize yourself with prompting techniques: zero-shot and few-shot prompting, and chain of thought.
• You can run AI models locally, ensuring data privacy and security.
• Consider tools like Retrieval Augmented Generation (RAG) for better model performance and accuracy.
• Frameworks like Lang Chain can streamline building AI applications.
• Deploying applications involves ML Ops for efficient scaling and operations management.
• Hybrid infrastructure (on-prem and cloud) is increasingly used for AI applications.
• Post-deployment, continue to benchmark and monitor AI applications for optimal performance.
• AI should be viewed as a tool to enhance development, not as a replacement for traditional skills.

Youtube Video: https://www.youtube.com/watch?v=dFSnam97YbQ
Youtube Channel: IBM Technology
Video Published: 2024-11-12T12:13:48+00:00