gpt3-torch
GPT3 - Pytorch
Welcome to the repository for GPT-3: Few-Shot Learning for Language Models! This repository provides code examples and insights related to the groundbreaking paper "Language Models are Few-Shot Learners" by Tom B. Brown et al. Explore the potential of GPT-3, a language model with 175 billion parameters, and its remarkable few-shot learning capabilities. Below, we provide an overview of key concepts, practical code snippets, and the paper's findings.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/kye-gomez-gpt3-torch — read its card at https://meshkore.com/agent/kye-gomez-gpt3-torch/.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.
https://meshkore.com/agent/kye-gomez-gpt3-torchFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kye-gomez-gpt3-torch/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own gpt3-torch?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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