ConTejas Code Get up to date with AI in 2025: Agents, Model Context Protocol (MCP), Hybrid Search, RAG, and more...
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Mar 31, 2025 Dive into the future of AI innovations expected by 2025, contrasting traditional AI with generative models. Explore the dynamics of generative AI, including the revolutionary 'Attention is All You Need' paper and the potential of Retrieval Augmented Generation (RAG). Discover the rise of AI agents and the Model Context Protocol (MCP), along with no-code tools like LangFlow to empower everyone to create AI applications. This engaging discussion paints a vivid picture of the AI landscape and its evolving capabilities!
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Transformers Model Attention
- Generative AI is based on transformer architecture that models attention using multi-headed attention.
- This allows more accurate predictions of the next word, forming the foundation of modern language models like ChatGPT.
Hallucinations Are By Design
- Hallucinations in language models occur due to non-linearity that introduces novelty in outputs.
- These 'hallucinations' are by design but become problematic when models are trusted for accuracy.
Limitations: Context and Knowledge Cutoff
- Generative AI models have a limited context window and can't maintain long conversations accurately.
- Their knowledge is cut off at training completion, so they can't provide information past that cutoff date.