ashurkina commited on
Commit
49c30f9
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1 Parent(s): 132bf48
.idea/.gitignore ADDED
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+ # Default ignored files
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+ /shelf/
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+ /workspace.xml
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app.py CHANGED
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+ import streamlit as st
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+
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+ st.title("Generative AI Resources")
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+ st.header("Generative AI & LLMs")
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+
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+ st.write("The collection of resources to learn about GenAI.")
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+ st.subheader("Introduction to GenAI")
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+ st.markdown("""
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+ 1. Generative AI learning path by Google: [link](https://www.cloudskillsboost.google/journeys/118)
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+
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+ """)
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+
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+ st.subheader("Learn about LLMs")
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+ st.markdown("""
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+ Keywords: [LLMs, Fine-Tuning, Text Embeddings, Transformers, Attention, Self-Attenion, Multi-head Attention, Foundation Models, Pre-Training, RLHF, Deep Neural
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+ Networks, Task-Specific Models]
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+ 1. LLM Bootcamp [link](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/")
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+ 2. Cohere: LLM University [link](https://docs.cohere.com/docs/llmu")
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+ 3. Coursera/Generative AI with LLMS [link](https://www.coursera.org/learn/generative-ai-with-llms/)
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+ 4. OpenAI Cookbook [link](https://platform.openai.com/docs/introduction)
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+ 5. LLM Interfaces [link](https://scifilogic.com/interface-for-running-local-llm/)
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+ 6. Stanford AI Index Report [link](https://aiindex.stanford.edu/report/)
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+ """)
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+
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+
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+ st.subheader("Prompt Engineering")
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+ st.write("""
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+ Keywords: [Prompting, Prompt Engineering, Prompt Design, Prompt Injection/Jailbreaking, Prompt Tuning, Prompt Drifting, Prompt Patterns,
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+ System Prompt, Prompt Template, Zero-Shot/One-Shot/Few-Shot, Chain-of-Thought Prompting, RAG (Retrieval Augmented Generation), APE (Automatic Prompt
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+ Engineer), Tree of Thoughts (ToT), Adversarial Prompting, Waterfall prompting]
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+ """)
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+ st.markdown("""
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+ 1. Coursera/Prompt Engineering for ChatGPT [link](https://www.coursera.org/learn/prompt-engineering)
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+ 2. Cohere/Constructing Prompts for the Command Model [link](https://txt.cohere.com/constructing-prompts/)
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+ 3. Cohere/Command Model Use Case Patterns [link](https://txt.cohere.com/command-usecase-patterns/)
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+ 4. DeepLearning/ChatGPT Prompt Engineering for Developers [link](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
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+ 5. Cohere/Prompt Engineering [link](https://docs.cohere.com/docs/model-prompting)
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+ 6. Learn Prompting [link](https://learnprompting.org/)
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+ 7. Prompt Engineering Guide [link](https://www.promptingguide.ai/)
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+ 8. Udemy: ChatGPT Complete Guide [link](https://www.udemy.com/course/complete-ai-guide/)
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+ 9. Prompt Tips by IBM [link](https://www.ibm.com/docs/en/watsonx?topic=models-prompt-tips)
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+ 10. 12 PE Techniques [link](https://cobusgreyling.medium.com/12-prompt-engineering-techniques-644481c857aa)
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+ 11. Understanding prompts, completions, and tokens [link](https://subscription.packtpub.com/book/data/9781800563193/2/ch02lvl1sec06/understanding-prompts-completions-and-tokens)
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+ 12. Text Generation (HF) [link](https://huggingface.co/tasks/text-generation)
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+ 13. Prompt Engineering for Effective Interaction with ChatGPT [link](https://machinelearningmastery.com/prompt-engineering-for-effective-interaction-with-chatgpt/)
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+ 14. A Complete Introduction to Prompt Engineering For Large Language Models [link](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering/)
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+ 15. Awesome ChatGPT Prompts [link](https://github.com/f/awesome-chatgpt-prompts)
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+ 16. Prompt Engineering Guide: How to Engineer the Perfect Prompts [link](https://richardbatt.co.uk/prompt-engineering-guide-how-to-engineer-the-perfect-prompts/)
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+ 17. Prompt Variables and Definitions GoogleDoc[link](https://docs.google.com/document/d/1KRo_ccokECGg-cbCYwHzLgaAJFpNLL8Xu1ZWjb4LWAU/edit)
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+ 18. 10 Essential Prompt Engineering Methods [link](https://www.topbots.com/prompt-engineering-chatgpt-llm-applications/)
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+ 19. Mastering Generative AI and Prompt Engineering: [link](https://s3.eu-central-1.amazonaws.com/up.raindrop.io/raindrop/files/623/017/898/Mastering_Generative_AI_and_Prompt_Engineering_230808_115249.pdf?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=ASIAZWICFKR6VEFG7UJT%2F20230808%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20230808T220803Z&X-Amz-Expires=1800&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEO3%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaDGV1LWNlbnRyYWwtMSJIMEYCIQDLpx1IJMkqiTN60IOb4rcuJEaISYkR2tXwjNazse0UngIhAJNfz7SWIckcECvJEWRCLcRidfBSWK5HCAedCyKDpKwGKoEECJb%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQABoMNjY2MjYxMzQ1NDA1IgxpfjieHhFAElmqZOQq1QMQe0fqu1LXGixZQ6Tn7xeJc9BBtolNLZ0WAKWa%2F5S01NNjbcHq5NEUSPzCwsvyCSf64cF7aGtI3GhSjbNIctcLxvmLJG%2B3gAlLu6WiCTHiKDEg3uD1WrrGV%2F1qaS0uOgz1ZOcvNgoEm6NSHslSPS90CvPlqZ0gKrAUY2GoBWUGDq2eZmGWSDgpdFufjK%2BwiOG9RDaKY1nqfQ3ihih42WHexurp81JzOmpOz014Vpc7O55LnVwqxDFhUCGOsQIARc8dHc3gzuSoIbYwlhaaDswVtcfrF%2FMUPOQ94W08QPnbLFKwkl8j1TJSHxicbqQmY8FUIKJmWXMzkAGz3qU9SiukcFtfpHIFZvEVmIL8mgVXKfO%2F5hsVoxAmpDGwXOJjyjMg3TFVvL%2FcaD1qK5pbdRYhSxjRPKKqE%2FOkXXNTkUauh%2F1TZ2OoZRaZVlxYA1x4UiMmDVaiDy6fkcBDxUUOldq3XmA1xIEr9QqaJfsGajfouENahFPlBP58%2B139bLo9A6Oqv3tuYbaATtogI8pfmID6hdmuLBHQoXZBhdJ3dxXTLW0Y8fquRB4KU9c99596agpn8%2FHgaicSQnTAplh6t6oj4wApEWJn3JS%2BdgBzMryOMkA9XXznMN7KyqYGOqQBTNVcqOk%2FpeEezP6XLp9iD608k8ceWjrYMNsVM3hsRmcI8kJMMGK6BPiZrZv0Mzvz94ap6hHyYSYdeJ3YAKAKa3ZcZ9AcFQqWwXFWuGzH6UsGWP71VIEBeflPf1%2FTFjzGO75TKV29WMhY4ciFMAwLWRs74g%2BOrgscBNkmqDFnK%2B1Tw56Cse8OVhd1CwkbvFhYEX7DPF%2Bojl3f0DKHNQom8XdT9zA%3D&X-Amz-Signature=dfa2113f1cdecba590d32e05fb4e4e18da52ce1c5e698c07253ea94f29ffcaa7&X-Amz-SignedHeaders=host&x-id=GetObject)
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+ Limitations:
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+ 1. Against LLM maximalism [link](https://explosion.ai/blog/against-llm-maximalism)
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+ 2. A Categorical Archive of ChatGPT Failures [link](https://medium.com/@aliborji/a-categorical-archive-of-chatgpt-failures-2c888805d3c3)
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+ 3. 10 Essential Prompt Engineering Methods [link](https://www.topbots.com/prompt-engineering-chatgpt-llm-applications/)
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+ """)
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+
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+ st.subheader("GenAI Tools")
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+ st.markdown("""
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+ Chat Interfaces:
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+ 1. ChatGPT [link](https://chat.openai.com/)
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+ 2. Claude [link](https://claude.ai/)
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+ 3. Perplexity LLama: [link](https://labs.perplexity.ai/)
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+ 4. OoBabooga Web UI (diy) [link](https://github.com/oobabooga/text-generation-webui)
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+ 5. Vercel Model Comparison [link](https://sdk.vercel.ai/prompt)
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+
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+ Front-End:
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+ 1. Databutton [link](https://www.databutton.io/)
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+ 2. Streamlit [link]()
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+ 3. Gradio [link]()
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+
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+ Prompt Engineering:
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+ 1. Vercel AI Prompt [link](https://sdk.vercel.ai/prompt)
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+
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+ Frameworks:
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+ 1. LangChain
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+ 2. LlamaIndex
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+
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+ Agents:
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+ 1. Baby AGI
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+ 2. Auto GPT
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+ """)
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+
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+ st.subheader("AI Ethics")
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+ st.markdown("""
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+ Keywords: [Responsible AI, Constitutional AI, Data Ethics, Bias, Carbon Footprint, AI Guardrails, Sampling Bias]
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+ 1. MS Responsible AI Standard: [link](https://blogs.microsoft.com/wp-content/uploads/prod/sites/5/2022/06/Microsoft-Responsible-AI-Standard-v2-General-Requirements-3.pdf)
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+ 2. Compliance: SOC 2
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+ 3. Anthropic/Constitutional AI: [link to paper](https://arxiv.org/pdf/2212.08073.pdf)
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+ 4. Should we trust web scraped data? [link to paper](https://arxiv.org/pdf/2308.02231.pdf)
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+ 5. Open Voice Network [link](https://openvoicenetwork.org/)
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+ """)
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+
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+ st.subheader("People to follow")
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+ st.markdown("""
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+ 1. Andrew Ng - Coursera/DeepLearning.ai
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+ 2. Harrison Chase - LangChain Founder
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+ 3. Luis Serrano [link](https://serrano.academy/)
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+ """)
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+
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+ st.subheader("Models")
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+ st.markdown("""
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+ 1. OpenAI - GPT-3.5/GPT-4 - ChatGPT
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+ 2. Google - ?? - Bard
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+ 3. Anthropic - Claude2 - Claude
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+ 4. Cohere - Coral
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+ 5. Meta - Lambda - ??
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+ 6. HuggingFace - ??
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+ 7. AI21 Studio - Jurassic-2 [link](https://www.ai21.com/)
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+ 8. OpenAssistant [link](https://open-assistant.io/)
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+ """)
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+ st.subheader("Training & Evaluation")
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+ st.markdown("""
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+ 1. HuggingFace/LLM Leadership Board [link](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ 2. Stanford/Evaluating LLMs Paper [link](https://stanford-cs324.github.io/winter2022/projects/CS324_P1.pdf)
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+ 3. Prolific [link](https://www.prolific.co/)
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+ """)
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+
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+ st.subheader("Case Studies")
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+ st.markdown("""
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+ 1. AI21 Case Studies: [link](https://www.ai21.com/category/case-study)
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+ """)
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+
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+ st.header("Conversational AI & Chatbots")
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+
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+ st.subheader("Live Chatbots Collection")
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+ st.markdown("""
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+ 1. HP Virtual Agent [link](https://virtualagent.hpcloud.hp.com/)
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+ 2. Vodafone - TOBi [link](https://www.vodafone.co.uk/contact-us/)
130
+ 3. CDI Global - Cee [link](https://cdisglobal.com/)
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+ 4. Bank of America - Erica [link](https://promotions.bankofamerica.com/digitalbanking/mobilebanking/erica)
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+ """)
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+
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+ st.subheader("Conversational Banking")
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+ st.markdown("""
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+ 1. Action AI [link1](https://action.ai/banking-in-the-metaverse/), [link2](https://action.ai/banking/), [link3](https://action.ai/the-good-the-bad-and-bank-branch-closures/)
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+ 2. Aimultiple [link](https://research.aimultiple.com/conversational-banking/)
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+ 3. Sinch [link](https://www.sinch.com/blog/conversational-banking/)
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+ """)
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+
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+ st.subheader("Other")
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+ st.markdown("""
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+ 1. Chatbot Metrics/KPIs/OKRs
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+ 2. Chatbot Localisation/Multi-language chatbots
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+ 3. Conversation Design
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+ 4. Tools: DialogFlow, Microsoft Bot Framework, IBM Watson;
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+ 5. Channels: Web, Messangers, Telephony.
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+ 6. Cases: [CDI Global](https://cdisglobal.com/cases/)
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+ 7. Cases [Boost AI](https://www.boost.ai/case-studies)
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+ 8. Cases [Kore AI](https://kore.ai/chatbot-case-studies/)
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+ 9. Cases [Poly AI](https://poly.ai/case-studies/)
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+ 10. Initial Model of Trust in Chatbots [link](https://www.duo.uio.no/bitstream/handle/10852/74147/An+initial+model+of+trust+in+chatbots+for+customer+service+-+authors+version.pdf?sequence=1)
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+ 11. Stanford NLP Course [link](https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ&index=1&ab_channel=StanfordOnline)
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+ """)
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+ st.markdown('***')
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+
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+ st.markdown("Move to Furo: [link](https://pradyunsg.me/furo/reference/admonitions/)")