5 AI Trends Happened in 2024 - ChatGPT, Claude, Gemini, and Perplexity
At the beginning of 2025, let’s see the evolution of AI trends in 2024!
AI tools have transformed how individuals and businesses manage complex tasks. AI has revolutionized productivity by taking over repetitive, time-consuming processes. These tools empower us to achieve 100x productivity, allowing humans to focus on creativity, strategic thinking, and decision-making.
For example, to finish a data analysis project, I used to allocate 50% of my time to data preparation tasks like writing SQL and cleaning data, 30% to data analysis, and 20% to preparing insight reports. With AI handling code writing and automating data cleaning, I’m glad that now I can concentrate on interpreting insights and making impactful decisions.
Over the past year, we’ve witnessed explosive growth in LLMs. From improving natural language understanding to integrating AI into daily workflows, the evolution of LLMs is forming a new workflow. In this article, we’ll dive into six major AI trends shaping 2024, focusing on how LLMs like ChatGPT, Claude, Gemini, and Perplexity are driving innovation and redefining the boundaries of AI.
5 AI Trends Happened in 2024:
1. AI-powered Search Engine
Perplexity was dominant in AI-powered search engines. It introduces itself as:
Perplexity is a free AI search engine designed to revolutionize the way you discover information.
However, at the end of October 2024, OpenAI introduced the “Web Search” feature to ChatGPT, enabling real-time internet searches to enhance response accuracy. This development intensified competition in the AI search market.
ChatGPT now provides data sources to increase content reliability and correctness. Moreover, ChatGPT’s search feature promises to better highlight and attribute information from trustworthy news sources, offering users a more transparent and dependable search experience.
2. The AI Integration in Ecosystems
AI integration within digital ecosystems reshapes user experiences by directly embedding advanced capabilities into widely used applications. This involves using AI tools and technologies to monitor, analyze, and manage ecosystems more effectively.
Google’s Gemini is a prime example of this trend, enhancing services such as Search, Maps, and Workspace with AI functionalities. Within Workspace applications, it streamlines tasks like drafting emails in Gmail, creating documents in Docs, and designing presentations in Slides, significantly boosting productivity.
Google Maps, powered by Gemini, seamlessly integrated my hotel reservation in Gmail, proactively displaying the address on my check-in date. It accurately anticipated my need for directions!
By seamlessly blending intelligent functionalities into everyday tools, AI is revolutionizing how we interact with technology. Google’s Gemini, in particular, stands out due to the extensive user base of Google products.
3. Personalized AI
In 2024, the trend of personalized AI has gained significant momentum to meet specific user needs. ChatGPT offers a custom instructions feature that allows users to personalize interactions by specifying preferred response styles or focus areas.
Claude introduces Model Context Protocol (MCP), an open protocol that facilitates seamless integration between LLM applications and external data sources or tools e.g. Slack, Google Drive, and Google Maps. This empowers users to adjust the AI’s behavior to align with their specific requirements, further enhancing personalization and utility.
4. Multimodal AI
AI models are evolving to process and combine multiple types of data, including text, audio, and visual inputs. This allows for more comprehensive and effective AI applications across various industries.
ChatGPT’s new feature for selecting tools enhances its ability to provide accurate and context-specific responses by utilizing specialized functionalities. This feature allows ChatGPT to determine the most appropriate tool for a given task, such as web browsing for up-to-date information, image processing for analyzing visuals, or advanced data analysis for complex computations.
OpenAI’s Sora exemplifies this trend by allowing users to create videos up to 20 seconds in length from text prompts, supporting various resolutions and aspect ratios.
5. Improved Reasoning Skill
LLMs were bad at math because they lacked a true understanding of mathematical principles and relied on patterns in data rather than logical reasoning. However, this limitation is being addressed!
OpenAI’s o1, a new LLM, has been designed to tackle complex reasoning by mimicking human thought processes. Trained with reinforcement learning, o1 “thinks” before it answers, producing a detailed internal chain of thought ℹ️ before responding to user queries.
( ℹ️ chain of thought is a reasoning process used by LLMs where they break down a complex problem into a series of smaller, logical steps before arriving at a final answer. )
In the study Learning to Reason with LLMs, o1’s performance improves with increased reinforcement learning during training and more deliberate reasoning during response generation. This scalability suggests that allocating more computational resources and allowing the model additional time to reason can further enhance its capabilities.
The more exciting is that o3, the latest reasoning model is coming soon in January 2025!
In short, as LLMs become more skilled at reasoning, users benefit from more accurate, efficient, and tailored support across a wide range of activities, enhancing productivity, learning, creativity, and decision-making.
Overall
Highlighting 4 significant changes in AI tools in 2024.
- AI-powered Search Engine
- The AI Integration in Ecosystems
- Personalized AI
- Improved Reasoning Skill
I anticipate seeing AI's widespread adoption and integration across various products and industries in 2025. We will have more AI agents, which are autonomous programs capable of performing tasks without human intervention to enhance our productivity to the next level!
