After ~18 months of mainstream Generative AI, the dust is starting to settle. Beyond the hype, patterns are emerging about what makes AI solutions work better.
After Meta decided to open-source Llama, it became the most downloaded model ever. Building on it is also the source of many LLM innovations and how this influenced other major open-source LLMs. But what do these AI models have for us in 2025?
Here's a breakdown of the most intriguing developments we anticipate in 2025, from smarter AI agents to game-changing innovations in inference and memory.
1. Agentic AI
The most anticipated and evident on the list is Agentic AI. But what exactly are AI agents, and why do they matter? These intelligent systems can reason, plan, and take action to solve problems.
For instance, an AI agent could break down a complex logistics issue into actionable steps, and then interact with tools and databases to execute the solution. While this sounds powerful, current models still struggle with consistent logical reasoning. They excel at simple tasks but often falter in complex, multi-variable scenarios. In 2025, we're expecting models that perform better, making Agentic AI a true breakthrough.
2. Inference Time Compute
Inference is when a model processes real-time data to generate a response. Think of it as the model "thinking" before giving you an answer. The amount of "thinking" time varies - simple requests might take seconds, while complex queries could take minutes.
What's exciting about new AI models is their ability to extend this inference process, improving reasoning without retraining the core model. This flexibility paves the way for smarter, more adaptive AI agents.
3. Very Large Models
Large language models consist of many parameters that are refined over the training process - they define them. Now the frontier models in 2024 were in the range of 1–2 trillion parameters in size. The next generation of models is expected to be many times larger than that - we are expecting 50 trillion parameters here!
Why does their size matter?
Larger models can handle information with better understanding and detail. They excel at complex queries, grasping context, and delivering precise answers. This makes them crucial for areas like research, simulations, and important decisions.
But this power comes with a cost. Training and running these massive models need huge computing resources. This means more energy use and higher expenses, making them less accessible for smaller teams or researchers.
As we step into 2025, the focus will be on making these models more efficient, affordable, and environmentally friendly so more people can use them.
4. Very Small Models
With the large models, the need for small models will be there more than ever too. These small models can be only a few billion parameters in size. These models are lightweight and can run on everyday devices like laptops and phones. Unlike large models, they don't need energy-hungry data centers or expensive hardware to work.
Their simplicity makes them perfect for specific tasks. For example, they can power personal assistants, language translation apps, or simple automation tools. They are efficient and easy to deploy.
As we focus on accessibility and energy efficiency, small models will play a key role in bringing AI to more people and devices without the need for heavy resources.
5. Improving Customer Experience
According to the Harris Poll, the most common enterprise use cases for AI in 2024 are improving customer experience, IT operations and automation, VAs, and cybersecurity. Looking ahead, we are anticipating more advanced use cases. So maybe the customer service bots can actually solve complex problems instead of just routing tickets.
Looking ahead to 2025, AI will move beyond just reacting to problems. We can expect systems that anticipate needs before they arise. Picture IT networks that optimize themselves or security tools that instantly adapt to new threats.
These advancements will make AI even more valuable, creating smoother experiences for users and more efficient systems for businesses.
6. Near Infinite Memory
This is where the bots can keep everything they know about us in memory at all times - every conversation, every preference, and every detail. This "near infinite memory" could make interactions seamless. For example, a customer service bot could pick up a chat right where you left off, making support faster and more tailored.
But this kind of memory makes us think about some big issues. How much information should these systems retain? What happens to your data, and who controls it? It will be very hard to find a good balance between personalization and privacy as we move ahead.
7. Human-in-the-Loop Augmentation
AI works best when it teams up with human expertise. A recent study showed that doctors using AI tools performed better than when either AI or humans worked alone. This proves AI isn't here to replace us - it's here to make us even better at what we do.
The magic happens when humans and AI collaborate. In fields like medicine, law, and engineering, this partnership can make a huge difference. Imagine doctors using AI to quickly analyze complex data while still using their judgment to make the final call.
The future is all about balance - AI is helping us, not replacing us. When done right, this partnership could change how we solve problems and get work done.
In the End
As we step into 2025, AI is moving beyond just being a tool to becoming a true partner in our daily lives. It's not about making machines smarter for the sake of it - it's about making our world more efficient, connected, and personalized. Whether it's AI remembering our preferences or working seamlessly alongside us, the future is full of potential.
But this exciting future also comes with questions - about privacy and ethics. It's about using technology that's thoughtful and responsible.
Thank you for reading this edition of our newsletter. Arbisoft is at the cutting-edge of artificial intelligence and machine learning, prioritizing in creating value for our clients in the most efficient way. Partner with us for your next venture!
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