Everything You Need to Know About AI — Ultimate Post
Last Update: 01/31/2024
The rise of LLMs. Image generation models. GPU shortage. AI Agents. Copyright rules. The world of AI has known a major transformation in the past year. Here’s everything you need to know through a selected list if resources that will be continuously updated.
Save this one for later ;)
Learning Resources to get you started:
- Youtube ML resources: dair-ai/ML-YouTube-Courses: 📺 Discover the latest machine learning / AI courses on YouTube. (github.com)
- LLM specific set of course: https://www.deeplearning.ai/short-courses/
- ML & AI (Microsoft Course): https://microsoft.github.io/AI-For-Beginners/
- Generative AI with Google: https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-generative-ai-training-resources?hl=en
- Neural Networks: Zero to Hero: https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
- RAG Cheat Sheet and Some Recipes For Building Advanced RAG
- Accelerating AI & LLM Projects: Top 18 Repositories for Developers and Entrepreneurs
- Best 2023 AI Papers
- Curated list of AI/ML books
- Free AWS Learning Resources : https://explore.skillbuilder.aws/learn
Having Fun With AI
TL;DR — catch up with the main AI development without hype!
- 2023 in 10 news and 10 images, what to remember in 2023!
- LLMs in 2023 everything you need to know!
- Beyond LLMs: image generation, voice cloning, video generation, etc.
- AI Agents, ML Ops and Copyright — everything you need to know
Deep Dive — Major AI topics
- You ChatBot in a few lines: Build a ChatGPT like App for Your Business in 7 lines of Code
- AI & Robots, when reality catches up with Sci-Fi: Asimov’s 3 laws of Robotics and Sparrow’s 23 laws of Language Models
- AI accelerating drug discovery: “The Most Important Achievement In AI — Ever” according to Forbes
- AI and SEO: SEO with AI, when chatGPT and Google work for you!
- Copyright: You Don’t Own Your AI-Generated Art: everything you need to know
- Detection of AI generated text: Detecting AI Generated Text — a Hard Problem
- Are OpenAI models becoming stupid over time? OpenAI Models’ Drift, Fast & Stupid? — New Insights and Consequences
Limitations to be aware of!
- Why ChatGPT isn’t ready to kill Google yet: in December 2022, I already expose LLMs weaknesses when facing a search engine. Namely, hallucination (i.e., generating non factual answers that sound plausible) and outdated knowledge! Both make ChatGPT a non viable competitor to Google.
- A First Comprehensive Analysis of ChatGPT’s limitations: I highlighted 10 major areas where ChatGPT can fail, including challenges in reasoning, logic, math, factual errors (hallucinations), biases, understanding humor, coding, grammar, self-awareness, and various other nuanced limitations.
- AI Coding shortcomings: it can easily handle simple tasks yet, it will fall short when it comes to building full fledged systems. As a matter of fact, it will often rely on obsolete or deprecated libraires since its knowledge base stops in Sept 2021. Read more about Coding with ChatGPT, 5 limitations to keep in mind.
I cover fundamental topics about AI & ML without hype. Don’t hesitate to recommend more content that could benefit everyone. Have fun :)!