Tracks/Track 4 — AI & Enterprise Architect/4-2
Track 4 — AI & Enterprise Architect

4-2: SLMs & Local Edge Inference

Severing the API oligopoly dependencies with Small Language Models.

3 Lessons~45 min

🎯 What You'll Learn

  • Deploy Llama 3 8B locally
  • Master QLoRA quantization
  • Achieve zero-latency inference
  • Cut token costs by 90%
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Syllabus Introduction2 MIN READ

Executive Playbook: SLMs & Local Edge Inference

Severing the API Oligopoly Dependencies

This playbook provides a critical architectural roadmap for executives and technical leaders. It details the strategic pivot from prohibitive hyperscaler API dependence to autonomous, cost-effective local inference with Small Language Models (SLMs). This is not an optimization; it is a fiscal and operational imperative.

Key Takeaways for Immediate Action

  • »

    Deploy Llama 3 8B Locally: Achieve on-premises, proprietary inference capabilities. Eliminate data egress concerns and external service disruptions.

  • »

    Master QLoRA Quantization: Reduce model footprint by >70% for efficient edge deployment without material performance degradation. Convert petabytes to gigabytes.

  • »

    Achieve Zero-Latency Inference: Execute critical AI tasks sub-millisecond at the edge, bypassing network bottlenecks and hyperscaler queues. Deliver instant user experiences.

  • »

    Cut Token Costs by 90%: Transition high-volume, low-complexity requests from expensive API calls to virtually free local inference. Recapture substantial operational expenditure.

© 2024. All Rights Reserved. McKinsey-grade insights for executive leadership.

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Inference Architecture
01import { orchestrator } from '@exogram/core';
02
03const router = new AgentRouter({);
04strategy: 'COST_EFFICIENT_SLM',
05fallback: 'FRONTIER_MODEL'
06});
07
08await router.guardrail(payload);
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Module Syllabus

Lesson 1: Part 1: Lesson 1: The API Margin Tax

Interactive Module Section.

15 MIN

Lesson 2: Part 2: Lesson 2: Quantization Architectures

Interactive Module Section.

20 MIN

Lesson 3: Part 3: Lesson 3: Fallback Routing & Agent Hand-offs

Interactive Module Section.

25 MIN
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