Language Models Emerging Technologies
What Trended in 2024 โ Six Technologies Which Dominated Timelines
In ๐ฎ๐ฌ๐ฎ๐ฐ, we saw the technology focus shifting from ๐๐ต๐ฎ๐ถ๐ป ๐ผ๐ณ ๐ง๐ต๐ผ๐๐ด๐ต๐ (๐๐ผ๐ง) approach to ๐ฅ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฎ๐น-๐๐๐ด๐บ๐ฒ๐ป๐๐ฒ๐ฑ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป (๐ฅ๐๐), reflecting the need for precise, contextual responses in generative AI.
Building on ๐ฅ๐๐, ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐ฅ๐๐ emerged, adding ๐ข๐ถ๐ต๐ฐ๐ฏ๐ฐ๐ฎ๐ฐ๐ถ๐ด ๐ค๐ข๐ฑ๐ข๐ฃ๐ช๐ญ๐ช๐ต๐ช๐ฆ๐ด for AI to dynamically retrieve, interpret, and act on data.
As these technologies advanced, attention grew around ๐ฆ๐บ๐ฎ๐น๐น ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐ and ๐๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป ๐ ๐ผ๐ฑ๐ฒ๐น๐, balancing task-specific efficiency with general-purpose adaptability.
This trajectory then accelerated toward ๐๐ ๐๐ด๐ฒ๐ป๐๐ capable of more complex, interactive roles, paving the way for something I like to call ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐ซ โ a framework embedding agentic capabilities directly into applications, making them proactive, adaptive, and contextually aware in meeting user goals independently.
Chief Evangelist @ Kore.ai | Iโm passionate about exploring the intersection of AI and language. From Language Models, AI Agents to Agentic Applications, Development Frameworks & Data-Centric Productivity Tools, I share insights and ideas on how these technologies are shaping the future.
