The Forge Pipeline
An end-to-end workflow for creating bespoke AI. Move from a raw concept to a fully-formed, deployable agent.
Stage 1: Forge JAX Model (JAXforge)
This is the JAXforge. Generate high-performance JAX/FLAX code, configure hyperparameters, and understand the model architecture.
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LLM Configuration
Adjust model parameters manually, use AI to generate a config, or load a saved one.
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0.9
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Transformer Architecture
An overview of the data flow within a single Transformer encoder block.
Input
Input Embeddings + Positional Encoding
Multi-Head Attention
Calculates attention scores across the sequence.
Add & Norm
Residual connection and layer normalization.
Feed Forward Network
Two linear layers with a ReLU activation.
Add & Norm
Another residual connection and normalization.
Output
To next encoder block or decoder