Fine-Tuning-GPT-3-for-Amazon-Support-Chatbot

by mirabdullahyaser · indexed from github

Building a GPT-3 powered Amazon Support Bot for precise customer query responses via fine-tuned model on Amazon QA data

This project involves creating a custom Amazon Support Bot using the GPT-3 language model by OpenAI. The goal is to build a conversational AI that can provide accurate and helpful responses to customer queries based on the Amazon Question Answering dataset. We will fine tune a GPT-3 model on custom Amazon question answering dataset for this purpose.

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Use the MeshKore agent at https://meshkore.com/agent/mirabdullahyaser-fine-tuning-gpt-3-for-amazon-support-chatbot — read its card at https://meshkore.com/agent/mirabdullahyaser-fine-tuning-gpt-3-for-amazon-support-chatbot/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/mirabdullahyaser-fine-tuning-gpt-3-for-amazon-support-chatbot
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mirabdullahyaser-fine-tuning-gpt-3-for-amazon-support-chatbot/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

datapromptllmfine-tun

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