AI & GenAI
ChatGPT: A Technical Overview
A technical introduction to tokens, embeddings, transformer-based generation and the limits of interpreting model outputs.
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INSIGHTS
Technical insights for
modern engineering teams.
Architecture patterns, technical deep-dives and practical lessons across AI, data, cloud and platform engineering.
MLOps & LLMOps
MLOps Technology Stack: Capabilities Before Tools
The capabilities an MLOps stack needs across development, versioning, data management, serving, monitoring and release controls.
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Technology Strategy
AI Product Ideas: Validation Before Implementation
Three AI product concepts and the validation, privacy and safety questions that should be addressed before building them.
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AI & GenAI
Generative AI in Contact Centers: An Agent-Support Architecture
Generative AI use cases for contact-center agents, with evaluation, privacy controls and human escalation built into the workflow.
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Technology Strategy
Planning a MicroSaaS: Scope, Tenancy and Operations
A practical MicroSaaS planning framework covering customer discovery, a focused MVP, pricing, support and measurable iteration.
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Technology Strategy
Quantum Computing: Applications and Constraints
A practical assessment of quantum algorithms, hardware constraints and complete-workflow comparisons, without universal speed claims.
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Data Architecture
Designing a SaaS ETL Platform with Angular and AWS
An ETL SaaS architecture outline covering the Angular interface, backend connectors, data processing, tenant isolation and controlled AI assistance.
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MLOps & LLMOps
LLMOps: Operating Large Language Model Applications
LLMOps means large language model operations: the practices used to evaluate, deploy, monitor and maintain applications built around LLMs.
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AI & GenAI
Configurable Chatbots: LangChain, Llama 2 and Retrieval Boundaries
A configurable chatbot example using LangChain and Llama 2, with retrieval, domain evaluation and clear limits on automation.
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