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2 diapositives32:20EN
Matthew Berman· 23 oct. 2026Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
4 diapositives21:12EN
Matthew Berman· 26 janv. 2026Clawdbot as a Personal AI Assistant: Workflows, Costs and RisksMatthew Berman · Forward FutureMatthew Berman demonstrates a local agent connected to messaging, cloud services and models, and reports what worked, failed and cost more than expected.Personal agentsIngénierie d’agentsLocal inference+2
6 diapositives9:10EN
Matthew Berman· 15 mai 2025Guiding AI Image Generation with Blender and ComfyUIMatthew Berman · Forward FutureMatthew Berman walks through NVIDIA’s RTX blueprint for turning a simple Blender scene and a text prompt into a generated image, from installation to editing the result.Generative mediaVision et vidéoLocal inference+1
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Matthew Berman· 6 nov. 2024Comparing Three Local Coding ModelsMatthew Berman · Forward FutureMatthew Berman introduces a sponsored comparison of DeepSeek Coder V2, Yi-Coder and Qwen Coder running on a workstation.Local inferenceAgents de codeOpen-weight models
2 diapositives9:15EN
Matthew Berman· 25 sept. 2024Llama 3.2 Adds Vision and Smaller On-Device ModelsMatthew Berman · Forward FutureIn a Meta-partnered 2024 video, Matthew Berman reviews the model family, its tooling and a brief hosted 1B demonstration.Open-weight modelsMultimodal AILocal inference+1
3 diapositives14:25EN
Matthew Berman· 2 juin 2024Testing Phi-3 Vision, LLaVA-Llama 3 and GPT-4o on ImagesMatthew Berman · Forward FutureMatthew Berman compares three 2024 vision setups on image descriptions, screenshots, a meme and table extraction, with mixed results.Vision et vidéoMultimodal AIOpen-weight models+2
4 diapositives9:53EN
Matthew Berman· 28 mai 2024Testing Microsoft Phi-3 Medium Locally: Mixed Coding and Reasoning ResultsMatthew Berman · Forward FutureMatthew Berman runs a quantized Phi-3 Medium on a MacBook and explores coding, arithmetic and reasoning prompts.Open-weight modelsLocal inferenceBenchmarks+1
4 diapositives25:00EN
Matthew Berman· 23 mai 2024Microsoft Build 2024: Copilot+ PCs, Phi-3 and AI DemosMatthew Berman, Satya Nadella, Sam Altman, Seth Juarez · Forward FutureMatthew Berman reviews selected Microsoft keynote announcements, product demonstrations and a conversation with Sam Altman.AI platform engineeringLocal inferenceMultimodal AI+2
4 diapositives8:09EN
Matthew Berman· 12 juin 2023Text-to-Video in 2023: Runway, Colab and a Local Zeroscope SetupMatthew Berman · Forward FutureMatthew Berman compares a hosted Runway Gen-2 demo with a Zeroscope notebook and a Windows GPU installation, showing the short-clip limitations he encountered.Generative mediaVision et vidéoLocal inference+1
2 diapositives10:40EN
Matthew Berman· 7 juin 2023Testing Nous Hermes 13B Locally: Mixed Reasoning and Unsafe ResponsesMatthew Berman · Forward FutureMatthew Berman compares a 2023 quantized model on hosted and local hardware, with uneven results across coding, logic and safety.Open-weight modelsLocal inferenceBenchmarks+1
1:13:52EN
Matthew Berman· 15 avr. 2023Andriy Mulyar on GPT4All, Data Quality and Open Local ModelsMatthew Berman, Andriy Mulyar · Forward FutureThe Nomic AI co-founder explains how GPT4All emerged, why training data matters, and the tradeoffs between local and centralized AI.Local inferenceOpen-weight modelsData quality & curation+2