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The article draws an analogy between the evolution of marathons and the development of generative AI (GenAI). It highlights how GenAI has transitioned from experimental concepts to scalable solutions, much like the refinement of marathon events over time. As 2025 approaches, the focus shifts to the significant impact GenAI is expected to have across various industries.
Key AI technologies to watch include Agentic AI, Small Language Models (SLMs), Retrieval-Augmented Generation (RAG), and Multimodal Intelligence. Each of these technologies is poised to enhance business operations, improve efficiency, and democratize AI access for smaller enterprises. The article emphasizes the importance of adapting to these advancements to achieve meaningful outcomes in a rapidly evolving technological landscape.
• 2025 marks a pivotal year for scaling GenAI solutions.
• Agentic AI will enhance decision-making in various business settings.
GenAI refers to AI systems that can generate content and solutions autonomously, driving notable impact in 2025.
Agentic AI systems operate autonomously in real-world environments, making decisions without human intervention.
SLMs are efficient AI models designed for specific tasks, offering cost-effective solutions for small businesses.
Apple's Intelligence system exemplifies the application of SLM technology in personal devices.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
How to level up your teaching with AI. Discover how to use clones and GPTs in your classroom—personalized AI teaching is the future.
Trump's Third Term? AI already knows how this can be done. A study shows how OpenAI, Grok, DeepSeek & Google outline ways to dismantle U.S. democracy.
Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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