A list for GPT resources
- Architecture https://openai.com/blog/instruction-following/
- Paper https://cdn.openai.com/papers/Training_language_models_to_follow_instructions_with_human_feedback.pdf
- About ChatGPT https://openai.com/blog/chatgpt/
- Instruct GPT https://arxiv.org/pdf/2203.02155.pdf
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Stephen Wolfram https://www.youtube.com/watch?v=flXrLGPY3SU
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https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/
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Neural Networks: Zero to Hero https://karpathy.ai/zero-to-hero.html
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Andrej Karpathy: Let's build GPT https://www.youtube.com/watch?v=kCc8FmEb1nY
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The simplest, fastest repository for training/finetuning medium-sized GPTshttps://github.com/karpathy/nanoGPT
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GPT 社會化的過程 https://www.youtube.com/watch?v=e0aKI2GGZNg
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Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond https://github.com/Mooler0410/LLMsPracticalGuide
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Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond https://arxiv.org/pdf/2304.13712.pdf
- Multimodal Chain-of-Thought Reasoning in Language Models https://github.com/amazon-science/mm-cot
- Paper https://arxiv.org/pdf/2302.00923.pdf
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I built an AI that answers questions based on my user research data
- https://uxdesign.cc/i-built-an-ai-that-answers-questions-based-on-my-user-research-data-7207b052e21c
- Build AI chatbot with custom knowledge base using OpenAI API and GPT Index https://www.youtube.com/watch?v=vDZAZuaXf48
- https://colab.research.google.com/drive/1PQXcM_jhN6QJ7uTkxvNbxoI54r03uSr3?usp=sharing
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中文字幕视频面向开发者的 ChatGPT 提示词工程
https://www.cloudskillsboost.google/journeys/118
- Introduction to Generative AI
- Introduction to Large Language Models
- Introduction to Responsible AI
- Introduction to Image Generation
- Encoder-Decoder Architecture: Overview
- Encoder-Decoder Architecture: Lab Walkthrough
- Attention Mechanism: Overview
- Transformer Models and BERT Model
- Transformer Models and BERT Model: Lab Walkthrough
- Create Image Captioning Models: Overview
- Create Image Captioning Models: Lab Walkthrough
- Introduction to Generative AI Studio
- https://cognitivesearchgpt.chinacloudsites.cn/
- https://github.com/Azure-Samples/azure-search-openai-demo/
- https://youtu.be/iS36n9rO6OQ
- https://github.com/axa-group/nlp.js
- https://github.com/snipsco/snips-nlu
- https://github.com/RasaHQ/rasa
- https://github.com/PaddlePaddle/PaddleNLP
- https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/uie
- 意图识别 https://github.com/taishan1994/pytorch_bert_intent_classification_and_slot_filling
- https://youtu.be/QyptrmzGJwc?t=188
- https://magazine.sebastianraschka.com/p/finetuning-large-language-models
- https://magazine.sebastianraschka.com/p/finetuning-llms-with-adapters
- https://magazine.sebastianraschka.com/p/understanding-parameter-efficient
- https://hex.tech/
- https://github.com/chat2db/Chat2DB
- https://github.com/vanna-ai/vanna
- https://youtu.be/mixwxOLSeFE
- https://arxiv.org/abs/2312.10997
- https://github.com/embedchain/embedchain
- https://github.com/StanGirard/quivr
- https://github.com/langgenius/dify
- https://github.com/explodinggradients/ragas
- LLM Powered Autonomous Agents
- Language Models Perform Reasoning via Chain of Thought
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- AUTOMATIC CHAIN OF THOUGHT PROMPTING IN LARGE LANGUAGE MODELS
- A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models"
- Paper collection on building and evaluating language model agents via executable language grounding
- https://pub.towardsai.net/chain-of-thought-reasoning-a3d531aa8054
- https://www.microsoft.com/en-us/research/blog/autogen-enabling-next-generation-large-language-model-applications/
- https://browse.arxiv.org/pdf/2308.08155.pdf
- https://github.com/microsoft/autogen
- Structured Chain-of-Thought Prompting for Code Generation
- Self-planning Code Generation with Large Language Models