The Deep View
Overview
A curated entity for tracking AI architecture trends, specifically focusing on post-LLM paradigms, real-time data processing, and continuous learning mechanisms.
Key Concepts & Integrations
Pathway’s BDH Architecture
- Core Thesis: Challenges the dominance of current Large Language Models (LLMs) and Transformer-based models by introducing the BDH (Batch, Data, and Hybrid) architecture.
- Key Insight: Focuses on advancing AI capabilities beyond static context windows through dynamic data handling, continuous learning, and latent thinking.
- Source Analysis: Detailed breakdown available in Pathway’s BDH: Challenging Transformer AI with Continuous Learning and Latent Thinking.
- Speaker: Zuzanna Stamirowska, CEO and co-founder of Pathway.
- Reference: Pathway’s BDH: Challenging Transformer AI with Continuous Learning and Latent Thinking
Related Entities
- LLM
- Real-time-AI
- Data-Processing
- Continuous-Learning
- Latent-Thinking