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The Ever-Evolving Tale of Intelligence, from Symbolic Systems to Generative Ai
- Artificial Intelligence refers to making machines perform tasks that typically require human intelligence.
- Generative AI creates brand-new content from analyzed data, which takes the approach of symbolic reasoning, machine learning, deep learning to another level.
- Programmers, journalists, social media managers, copywriters, and designers can use GenAI to supercharge their work, making them able to focus more on architecture and creative aspects.
- Like blockchain technology, GenAI has gone through its Hype Cycle, where the current stage is at or near its peak of inflated expectations. Nevertheless, meaningful applications will continue to grow over time.
- Large Language Models (LLMs) are another major ingredient that makes GenAI so powerful as they allow these systems to understand context and nuance in ways that we couldn't have imagined just a few years ago.
- The next chapter in GenAI's ever-evolving story is to explore how these systems hum with their building blocks, training strategies, and optimization techniques, known as the GenAI pipeline.
- GenAI is not a technology that threatens to take away jobs, but an ally that can change how we work.
- GenAI is not just a technology; it's a new lens through which we can imagine and build our future.
- Fonyuy Gita welcomes feedback, collaboration ideas, and other inquiries.
- Fonyuy Gita may be contacted via email, Github, X (formerly Twitter), and LinkedIn.
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