Language Models Emerging Technologies
What Trended in 2024 - Six Technologies Which Dominated Timelines
In š®š¬š®š°, we saw the technology focus shifting from ššµš®š¶š» š¼š³ š§šµš¼šš“šµš (šš¼š§) approach to š„š²ššæš¶š²šš®š¹-ššš“šŗš²š»šš²š± šš²š»š²šæš®šš¶š¼š» (š„šš), reflecting the need for precise, contextual responses in generative AI.
Building on š„šš, šš“š²š»šš¶š° š„šš emerged, adding š¢š¶šµš°šÆš°š®š°š¶š“ š¤š¢š±š¢š£šŖššŖšµšŖš¦š“ for AI to dynamically retrieve, interpret, and act on data.
As these technologies advanced, attention grew around š¦šŗš®š¹š¹ šš®š»š“šš®š“š² š š¼š±š²š¹š and šš¼šš»š±š®šš¶š¼š» š š¼š±š²š¹š, balancing task-specific efficiency with general-purpose adaptability.
This trajectory then accelerated toward šš šš“š²š»šš capable of more complex, interactive roles, paving the way for something I like to call šš“š²š»šš¶š° š«āa framework embedding agentic capabilities directly into applications, making them proactive, adaptive, and contextually aware in meeting user goals independently.
Chief Evangelist @ Kore.ai | Iām 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.