Create chatbot for Contact Center LLM
Budget: $250 – $750 USD
I want to fine-tune an open-source large-language-model so it speaks in my brand voice and solves the most common issues my contact-center team faces. I’ll supply a clean set of chat and email transcripts along with knowledge-base articles; you transform that raw material into a well-structured training corpus, build the prompts, and handle the end-to-end training process.
Here’s what I need:
• Functional prototype – a fine-tuned model (Llama 2, SEALLM, Falcon, or another comparable base) that can be queried locally or through a simple REST API.
• Repeatable training pipeline – Python scripts/notebooks using Hugging Face so I can retrain when new data arrives.
• Inference setup – clear steps for running the model on a single GPU including basic rate-limiting and logging.
• Performance snapshot – short report covering data prep, hyper-parameters, evaluation method, and sample conversations showing accuracy and tone.
A response time under one second for typical queries and at least 90 % intent-matching accuracy on my hold-out set will mark the job done.
Please provide me your sample for chatbot for Contact Center
Here’s what I need:
• Functional prototype – a fine-tuned model (Llama 2, SEALLM, Falcon, or another comparable base) that can be queried locally or through a simple REST API.
• Repeatable training pipeline – Python scripts/notebooks using Hugging Face so I can retrain when new data arrives.
• Inference setup – clear steps for running the model on a single GPU including basic rate-limiting and logging.
• Performance snapshot – short report covering data prep, hyper-parameters, evaluation method, and sample conversations showing accuracy and tone.
A response time under one second for typical queries and at least 90 % intent-matching accuracy on my hold-out set will mark the job done.
Please provide me your sample for chatbot for Contact Center