Fine-Tune and Optimise Open-Source Generative AI by Hamza MoorajFine-Tune and Optimise Open-Source Generative AI by Hamza Mooraj
Fine-Tune and Optimise Open-Source Generative AIHamza Mooraj
I adapt and optimise open-source language models for domain-specific use cases using parameter-efficient fine-tuning techniques such as LoRA and PEFT.
This service includes:
Model selection and benchmarking
Dataset preparation and formatting
Fine-tuning configuration and training
Quantisation and memory optimisation
Performance evaluation and reporting
Ideal for teams looking to improve accuracy, reduce API dependency, or deploy cost-efficient AI solutions.
FAQs
I specialise in fine-tuning and adapting pre-trained open-source models for efficient deployment using Parameter-Efficient methods to reduce compute cost.
Yes. I implement quantisation and optimisation strategies to lower hardware requirements.
Fine-Tune and Optimise Open-Source Generative AIHamza Mooraj
Starting at$120
Duration2 weeks
Tags
PyTorch
Conversational AI Developer
Generative AI
Large Language Models
LoRA
ML Engineer
Model Fine-Tuning
Model Optimisation
Transformers
I adapt and optimise open-source language models for domain-specific use cases using parameter-efficient fine-tuning techniques such as LoRA and PEFT.
This service includes:
Model selection and benchmarking
Dataset preparation and formatting
Fine-tuning configuration and training
Quantisation and memory optimisation
Performance evaluation and reporting
Ideal for teams looking to improve accuracy, reduce API dependency, or deploy cost-efficient AI solutions.
FAQs
I specialise in fine-tuning and adapting pre-trained open-source models for efficient deployment using Parameter-Efficient methods to reduce compute cost.
Yes. I implement quantisation and optimisation strategies to lower hardware requirements.