From the course: Introduction to NLP and LLMs: Principles and Practical Applications
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The evolving landscape of NLP and LLMs
From the course: Introduction to NLP and LLMs: Principles and Practical Applications
The evolving landscape of NLP and LLMs
- [Instructor] Let's explore the evolving landscape of NLP and LLMs. These advancements are shaping the future of AI, making it more capable, interactive, and trustworthy. This chart illustrates the predicted future trends in natural language processing and large language models ranked by their perceived importance. The key takeaways, well, domain specific fine-tuning is expected to be the most important trend highlighting the growing need for LLMs, specialized for particular industries or tasks. Increased use of multimodal models and advanced conversational agents are also predicted to be highly significant, indicating a shift towards more versatile and interactive LLMs. Improved explainability and transparency emphasizes the growing importance of understanding and trusting LLM decisions. Agentic AI and agents suggest a future where AI plays a more active and autonomous role. Real-time language translation and specialized and efficient LLMs are also seen as important trends…
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