AI & GenAI
Azure OpenAI, LangChain, Chroma and Chainlit: Roles and Trade-offs
The distinct roles of model access, orchestration, retrieval and conversational interfaces in an LLM application.
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Architecture patterns, technical deep-dives and practical lessons across AI, data, cloud and platform engineering.
AI & GenAI
The distinct roles of model access, orchestration, retrieval and conversational interfaces in an LLM application.
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Where chatbots and voicebots can support service and sales workflows, and how to evaluate their reliability and operating cost.
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A technical introduction to tokens, embeddings, transformer-based generation and the limits of interpreting model outputs.
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Generative AI use cases for contact-center agents, with evaluation, privacy controls and human escalation built into the workflow.
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A configurable chatbot example using LangChain and Llama 2, with retrieval, domain evaluation and clear limits on automation.
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The relationship between artificial intelligence, machine learning and deep learning, with clear definitions and practical distinctions.
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