AI’s Transformational Year: Milestones from 2024 Shaping 2025

Last Updated January 14, 2025

Written by Gert Van Assche, Innovation Hub Leader of Summa Linguae Technologies.

The year 2024 marked an extraordinary phase in the evolution of Large Language Models (LLMs). With rapid advancements across various domains, the pace of progress was almost dizzying.

Key trends and milestones included:

  • Smaller Models, Big Impact: Small Language Models (SLMs) demonstrated that size isn’t everything, delivering performance comparable to LLMs while being more resource-efficient.
  • Industry-Specific LLMs: A wave of LLMs tailored for specific industries emerged, including localization, with systems like TowerLLM and Lara showcasing their potential.
  • Multimodal Marvels: Systems like Chameleon integrated text, image, and audio processing, paving the way for smart QA systems capable of autonomously reviewing translated PDFs.
  • Democratization of AI: The overwhelming release of open-source LLMs and AI tools democratized access to cutting-edge capabilities, fostering innovation and collaboration.

Language models are poised to become ‘agentic,’ capable of performing tasks with a sense of purpose or objective.

These agentic systems can:

  • Plan and execute tasks based on high-level prompts or internal programming.
  • Operate independently within defined constraints, making decisions without constant human oversight.
  • Interact with external tools such as code execution environments, web browsers, or APIs to achieve complex objectives.
  • Iteratively refine outputs by evaluating performance and adjusting behavior to better align with task goals.

For example, an agentic LLM might:

  • Accept a broad task like “Create a business strategy for launching a new product.”
  • Break it down into subtasks (e.g., market research, competitor analysis, pricing strategies).
  • Independently gather information using APIs or web tools.
  • Generate and refine outputs, culminating in a cohesive strategy.

Now that 2025 is underway, the evolution of these agentic systems promises to redefine the boundaries of AI capabilities. However, safeguards will be essential to ensure alignment with human intent and ethical guidelines.

📢 How do you see agentic LLMs reshaping industries in 2025?

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