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Matthew Berman
VERIFIED TECHNICAL DOSSIERSources checked

Matthew Berman

AI YouTube Creator & Host

2 Verified ArtifactsSource Checked & Attributed
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Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Matthew Berman. Every entry undergoes editorial source verification.

#1
IMPLEMENTATION Checked Sep 22, 2026

Autonomous Agent Architectures and Workflow Templates

Maintains open-source implementation guides demonstrating multi-agent routing, tool calling, and structured output parsing with CrewAI, AutoGen, and LangChain.

Model & Execution Context:CrewAI multi-agent swarms, Python tool calling, SQLite persistence.
Scope & Limitations

Multi-agent coordination requires strict token budget controls to prevent runaways on recursive self-refinement.

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#2
EXPLANATION Checked Sep 22, 2026

Running Frontier Open Weights and Local LLMs Fully Offline

Published hands-on architectural walkthrough testing quantization trade-offs, GPU VRAM caching, and local Ollama server orchestration across Llama-3, DeepSeek, and Mistral models.

Model & Execution Context:Local quantized GGUF weights, Ollama, vLLM, LM Studio, consumer GPU hardware.
Scope & Limitations

Local inference throughput is bounded by available unified memory bandwidth on consumer workstations.

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