<AI_Playground/>
attn_weights = self.softmax
Hertzfelt Labs cli
React/TypeScript frontend with OpenAI API integration, custom terminal emulator engine, real-time message streaming, command history navigation, and optimized state transitions.
Hertzfelt labs voice assistant. Multimodal Capabilities for the AI-NATIVE frontier
Groq is used for fast inference of OpenAI Whisper (for transcription) and Meta Llama 3 (for generating the text response). Cartesia's Sonic voice model is used for fast speech synthesis, which is streamed to the frontend. VAD is used to detect when the user is talking, and run callbacks on speech segments. The app is a Next.js project written in TypeScript and deployed to Vercel.
Cartesia AI
Groq
OpenAI
MetaAI
Vercel
MCP
V0 (Vercel)
Deploy
Hertzfelt Labs
How Diffusion Models work
From Noise To Vision
We make it easy to understand the tech behind the magic — here’s how generative diffusion models turn randomness into refined visuals.
Stage 1
Noise Injection
Diffusion models start by adding pure noise to an image. This randomization process teaches the model how to reverse chaos into structure.
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Model Training Basics
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Chaos-to-Structure Logic
Stage 2
Denoising Process
In hundreds or thousands of gradual steps, the model learns to remove noise, reconstructing meaningful patterns using learned data distributions.
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Iterative Refinement
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Learned Distributions
Stage 3
Final Render
As the denoising completes, the image sharpens into a fully generated output. Optional prompts can guide the style, subject, or structure.
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High-Fidelity Output
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Conditioned Generation
