Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
Dolphin 🐬 Additional Bonus programs for OpenAI ChatGPT(GPT-3.5 legacy), ChatGPT Plus(GPT-3.5 default, GPT 3.5 default, and GPT-4). API examples for GPT-3.5-turbo, GPT-4, DALL-E 2, Google Cloud AI Language, and Google Cloud AI Vision. Discover HuggingGPT, Google Smart Compose, Google BARD, and Microsoft's New Bing . Advanced prompt engineering with the ChatGPT API and the GPT-4 API.
⚡ 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/denis2054-transformers-for-nlp-2nd-edition — read its card at https://meshkore.com/agent/denis2054-transformers-for-nlp-2nd-edition/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/denis2054-transformers-for-nlp-2nd-editionFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/denis2054-transformers-for-nlp-2nd-edition/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Transformers-for-NLP-2nd-Edition?
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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