Rohit Ghumare c5ef7ae9d0 feat(phase-05/17): chatbots — rule-based to neural to LLM agents ...

Walks the four-paradigm evolution: rule-based (ELIZA pattern matching
in 20 lines), retrieval-based (FAQ with similarity threshold), neural
seq2seq (and why it loses solo), LLM agent loop (plan → tool → verify).

Working demo: hybrid routing that sends destructive actions to
structured flows, FAQs to retrieval, and ambiguous queries to an LLM
agent fallback. This is the 2026 production pattern.

Names five failure modes still shipping: confident fabrication, prompt
injection, scope creep, infinite loops, context window exhaustion.
Each with mitigation.

Ship artifact: chatbot-architect skill that refuses pure-LLM agents
for destructive actions without structured confirmation flows and
requires prompt-injection audit for any write-access agent.

~75 minutes. Prerequisites lesson 05/13 and 05/14.

2026-04-22 17:39:34 +01:00

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.gitkeep

feat(phase-05/17): chatbots — rule-based to neural to LLM agents

2026-04-22 17:39:34 +01:00