Long‑Context Custom AI
Systems approach to long‑context custom AI that combines retrieval, memory architectures, and compression for scaling.
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Explainable AI bridges the gap between humans and machines by making complex AI decisions transparent and understandable.
Natural Language Processing solutions enable machines to understand, interpret, and respond to human language intelligently.
Unified Enterprise AI & IoT Platform for seamless monitoring of assets, workers, and facilities to boost efficiency.
Systems approach to long‑context custom AI that combines retrieval, memory architectures, and compression for scaling.
→Explore methodologies for domain-specific AI benchmarking: create challenge sets that predict real-world performance.
→Discover edge-cloud co-design for low-latency custom AI: partitioning, compression, networking, and orchestration.
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→This work explains how specialized AI agents collaborate to streamline production processes from planning to execution.
→Bespoke AI Agents are the future tailored systems that think, adapt, and act for specific goals, redefining efficiency and innovation.
→Explore the RAG Maturity Model: stages, metrics, and anti-patterns for effective retrieval-augmented generation implementations.
→Instruction tuning optimizes AI models to better understand and follow human instructions, enhancing performance and user satisfaction.
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