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Recommended stack

What are you building? Customise a model

One technology per slot, with the reason it is suggested and what to use instead.

Base model

model

GPT

Family of decoder-only Transformer language models trained with a generative objective.

Why derived from the graph

The agents converse through a model backend, with the hosted models among the supported ones.

Source

Method

technique

Fine-tuning

Continue training a pre-trained model on task-specific data to adapt its behaviour.

Why derived from the graph

LoRA used for Fine-tuning

Source

Efficient alternative

technique

LoRA

Fine-tuning by training small low-rank adapter matrices instead of all weights.

Why derived from the graph

QLoRA adds 4-bit quantisation of the frozen base model on top of LoRA adapters.

Source

Serving

technique

KV Cache

Cached attention keys and values that make generating one token at a time affordable.

Why derived from the graph

Reusing a shared prefix means reusing the cached keys and values for it.

Source