Explore 2025 AI trends like Agentic AI, faster inference compute, and advanced industry applications.,Learn how Large Language Models (LLMs) may evolve into larger, more powerful systems or smaller, task-specific models.,Discover the rise of very small AI models for low-power devices and their role in everyday life.
Agentic AI: Smarter, More Independent Systems
Agentic AI refers to systems that can act independently to achieve specific goals, adapting their actions based on the context. In 2025, expect advancements that enable AI agents to handle more complex tasks, making them integral to industries like customer service and autonomous operations.
Inference Time Compute: Faster and More Efficient AI
The demand for faster, more energy-efficient AI models is increasing. As AI adoption grows, innovations in inference time computing will focus on reducing resource consumption while maintaining or improving performance, ensuring AI can scale sustainably.
Large Language Models: Bigger, Better, or Smaller?
LLMs like GPT-4 and others may evolve in two directions:
- Larger Models: For comprehensive and nuanced tasks, pushing the boundaries of AI capabilities
- Smaller, Specialised Models: Tailored for specific applications, offering efficiency without compromising performance.
The Rise of Very Small Models
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Smaller, lightweight models will play a significant role in 2025. These models are optimised for devices with limited computing power, such as smartphones and IoT devices, expanding AI’s reach into everyday life with minimal energy consumption. For more details on the future of AI, see our article on Adrian's Angle: AI in 2024 - Key Lessons and Bold Predictions for 2025.
Advanced Use Cases: AI Across Industries
AI is poised to unlock new possibilities across sectors, including:
- Healthcare: More precise diagnostics and treatment recommendations.
- Finance: Enhanced fraud detection and risk analysis.
- Retail: Personalised shopping experiences powered by real-time AI agents.
The World Economic Forum provides further insights into the transformative potential of AI across various industries in their report on the Future of Jobs.
Video Breakdown (Timestamps)
0:00 – Introduction to AI Trends for 2025 0:40 – Agentic AI: Smarter, context-aware systems 1:45 – Inference Time Compute: Faster, efficient AI models 2:55 – Large Language Models: Scaling bigger and smaller 3:28 – Very Small Models: AI for low-power devices 4:15 – Advanced Use Cases: AI’s impact across industries
Why Watch This Video?
In just 5 minutes, you’ll gain:
- Insights into AI trends like Agentic AI and LLM evolution
- An understanding of the trade-offs between large and small AI models
- A glimpse into how AI will transform industries in 2025 and beyond.
*Watch now to stay ahead of the AI curve!
Latest Comments (4)
"10 minutes" to grasp all that, eh? Sounds a bit ambitious, even for us Singaporeans who love efficiency. Still, good to see AI education pushing forward.
This IBM article on AI trends for 2025 sounds quite insightful, but the summary about Google's 10-minute course is a bit surprising. While a quick overview is helpful, can one truly grasp the 'basics' of ML, DL, and LLMs in such a short timeframe? I'm curious about the depth of understanding that such a rapid course could provide.
Interesting, but focusing solely on Google's course feels a bit narrow, doesn't it? IBM's trends probably offer a broader, more enterprise-level perspective.
While these foundational courses are excellent for basics, I wonder if a 10 minute primer truly captures the *nuance* of these AI trends for 2025 like IBM suggests. It feels a bit like trying to learn to drive by watching a YouTube short. For the real-world application, especially in Singapore's fast-paced tech scene, I'd reckon deeper dives are essential.
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