A curated list of articles and tutorials to start with and understand generative AI
- Introduction to Generative AI: What It Is & Main Applications
- Generative AI Learning Roadmap: From Absolute Beginner to Practioner [Part 1]
- Generative AI Learning Roadmap: From Absolute Beginner to Practioner [Part 2]
- Generative AI Learning Roadmap: From Absolute Beginner to Practioner [Part 3]
- What Are Large Language Models?
- 5 Challenges Come with Building LLM-Based Applications
- Vector Database: The Secret Behind Large Language Models Capabilities
- Parameter-Efficient Fine-Tuning (PEFT): Fine-tune Large Language Models with Limited Resources
- Hands-On LangChain for LLM Applications Development: Prompt Templates | Article | Code
- Hands-On LangChain for LLM Applications Development: Output Parsing | Article | Code
- Hands-On LangChain for LLMs App: ChatBots Memory| Article | Code
- Hands-On LangChain for LLMs App Development: Chains | Article | Code
- Hands-On LangChain for LLM Applications Development: Documents Loading
- Hands-On LangChain for LLM Applications Development: Documents Splitting [Part 1]
- Hands-On LangChain for LLM Applications Development: Documents Splitting [Part 2]
- Hands-On LangChain for LLM Applications Development: Vector Database & Text Embeddings
- Hands-On LangChain for LLM Applications Development: Information Reterival
- Prompt Engineering Best Practices for Instruction-Tuned LLM [Part 1]
- Prompt Engineering Best Practices for Instruction-Tuned LLM [Part 2]
- Prompt Engineering for Instruction-Tuned LLM: Iterative Prompt Development
- Automating YouTube Script Writing with LangChain and Streamlit: A Step-by-Step Guide
- Building a PDF-Chat App using LangChain, OpenAI API & Streamlit
- Top 10 Open Source LLMs To USE In Your Next LLM Application
- 10 Large Language Models Projects To Build Your Portfolio
- 10 Guided Large Language Models Projects to Build Your Portfolio
- From Novice to Expert: A Comprehensive Step-by-Step Study Plan for Mastering LLMs
- Top 10 Large Language Models GitHub Repository
- Top Resources to Learn & Understand RLHF
- Top Resources to Master RAG: From Basic Level to Advanced
- Overview of LLM Quantization Techniques & Where to Learn Each of Them?
- 6 Resources to Master Vector Databases & Building a Vector Storage
- 5 Top Large Langauge Models Practical & Theoretical Courses
- What is LLMOps and How to Get Started With It
- Falcon40 LLM: The Top Recent Open-Source LLMs
- Access GPT-4 for Free through these 4 Tools
- 4 ChatGPT Tips To Be In The Top 1% of Its Users
- A Comprehensive Introduction to AutoGPT: What It Is & How to Use It?
- DALL- E3 Is Out! Here Is What You Need to Know About It
- Introduction to Large Language Models with GPT & LangChain (DataCamp Code Along)
- Prompt Engineering with GPT & LangChain (DataCamp Code Along)
- Building Multimodal AI Applications with LangChain & the OpenAI API
- Semantic Search with Pinecone Retrieval Augmented Generation with OpenAI API & Pinecone (DataCamp Code Along)
- Building Chatbots with the OpenAI API & Pinecone (DataCamp Code Along) Using Open Source AI Models with Hugging Face (DataCamp Code Along)
- Building NLP Applications with Hugging Face (DataCamp Code Along)
- Image Classification with Hugging Face (DataCamp Code Along)
- A Gentle Introduction to Generative Adversarial Networks (GANs)
- You Probably Know GANs, But Do You Know How To Train It?
- How Can We Evaluate the Generated Images By GANs?
- Overview of Important GANs Models & Applications
- Building & Training GAN Model From Scratch In Python
- Building GANs Application and Deploying it on Streamlit & Heroku