30-day study plan to learn AI and Machine Learning

Bookmark for reference 📌 Day 1: Introduction to AI and ML

• Objective: Understand AI, ML, and Deep Learning (DL)
• Task: Read the introductory chapter of “Artificial Intelligence: A Guide for Thinking Humans” by Melanie Mitchell.
• Exercise: Summarize the differences between AI, ML, and DL.

Stop LLM hallucination with this Python library

Outlines is a Python library that makes text generated by large language models (LLMs) more consistent and predictable.

It lets you control how LLMs generate text, making sure they follow a specific, expected format. In this post, you'll read about:

1. Make LLMs answer MCQs without Hallucination
2. Make LLMs generate efficient JSON
3. Prompt Management with Templates

Before you move forward, subscribe to Unwind AI for more such AI updates: unwindai.substack.com

Support Vector Machines (SVM) Clearly Explained with Python Code: What is SVM?

SVM is a supervised ML algorithm primarily used for classification tasks.

Imagine you're at a party, and you want to separate the pizza lovers from the burger lovers. SVM is the friend who draws the perfect line to divide them neatly.

Drag & Drop to build AI agents 🤯

Meet n8n, a visual UI for building AI agents with LangChain without writing a single line of Python code.

Want to build automation around LLM apps with Nocode, get started now:

How does it work?

1. Connect & Set Up: Choose your n8n experience and set triggers to fetch data across apps.

2. Integrate Using App Nodes: Utilize 400+ app nodes to manage your data.

3. Automate: Let your workflow handle tasks, from monthly sync to massive data executions.

ChatGPT just went FULLY multimodal 🤯

With one update, OpenAI killed 1000s of AI startups. ChatGPT’s strategy: Consolidate, Innovate, & Dominate.

ChatGPT becomes the ultimate AI super-app combining Midjourney, PDF Chat, Perplexity AI, and advanced Data analysis all in one app. Here’s is what you can do with multimodal ChatGPT (Example by @ldjconfirmed)

Generate Image, Edit images with text, chat with images, documents and so much more 🤯

Drag & Drop to build AI agents 🤯

Introducing n8n, a visual UI for building AI agents with LangChain without writing a single line of Python code.

Now build automation around LLM apps with NoCode and give superpowers to ChatGPT. How does it work?

1. Connect & Set Up: Choose your n8n experience and set triggers to fetch data across apps.

2. Integrate Using App Nodes: Utilize 400+ app nodes to manage your data.

3. Automate: Let your workflow handle tasks, from monthly sync to massive data executions.

LLMOps is the holy grail for deploying LLMs in Production.

Here is the roadmap to go from playground to production: Platforms for LLMs

Think of LLM platforms as your personal Formula 1 pit crew - managing the heavy-lifting of infrastructure, fine-tuning, versioning, and deployment. They come in two flavors:

1. NoCode/LowCode platforms
2. Customizable Code-first platforms.

Don't pay ridiculous amounts of money to study Python, Data Science, and Machine Learning.

Learn from the experts at Google, IBM, Stanford, MIT, and Harvard universities for FREE.

(A thread) 👇 📌 twitter.com/i/web/status/1… 1. Introduction to Computer Science and Programming in Python

YouTube playlist for beginners with little or no programming experience.

👉 youtube.com/playlist?list=…

ChatGPT Code Interpreter just launched 24 hrs ago

It has already taken the internet by storm and blowing everyone's mind!

Here are 15 amazing things that it can do: https://t.co/9toL4OWCxstwitter.com/i/web/status/1…
Bookmark this thread to come to back to when you experiment with Code Interpreter.

In this thread, you will see how Code Interpreter can:
- Be a data scientist
- Extract text from images (OCR)
- Generate animations and Videos
- Generate QR codes
- & so much more!

Are you ready to take your machine learning and data science skills to the next level?

I've got an incredible resource to share with you!

(A thread) 👇🧵 I came across @brilliantorg courses that teach you from first principles, making complex concepts intuitive and engaging.

Turn problems into simple exercises!

Top 10 ChatGPT Alternatives!

No signup required.

Bookmark this 📌 1. Perplexity AI

Perplexity AI unlocks the power of knowledge with information discovery and sharing. It can access the latest information using the web browsing feature.

perplexity.ai

Tired of dull QR codes? 😴

Now you can transform your QR codes using AI!

Stable Diffusion with Control Net = Awesome QR codes 🔥

(A thread) 🧵👇 1. Anime QR Code

OpenAI's Plan for the Future of AI (AGI)

(A thread) 🧵👇 1. OpenAI faces significant GPU limitations that impact their short-term plans.

The API's reliability and speed have been affected due to GPU shortages.

However, they are working to overcome these challenges and drive down the cost of their APIs over time.

🚨 Exciting News!

Andrew NG has just released three incredible new short courses on Generative AI, Diffusion models, and LangChain.

The best part? They are all absolutely FREE! 🎓 1️⃣ Building Systems with the ChatGPT API

Discover how to construct sophisticated applications that rely on multiple API calls to a Language Model. Enhance your skills and build complex apps with ease.

👉 learn.deeplearning.ai/chatgpt-buildi…

3 autonomous AI agents that you must try: 1. AutoGPT

Auto-GPT just levelled up AI!

With the ability to "execute commands," it can scrape websites, find info, make images, run code, and more!

Microsoft took the AI world by storm with some VERY BIG announcements that will completely the way we work 🤯

Details in 🧵 1. Windows Copilot

First-of-its-kind operating with native AI capabilities that will put the applications of AI in the hands of the masses!

Learning about LLMs will be the best decision you can make as an ML engineer.

Top 5 courses to master Large Language Models and Prompt Engineering.

Bookmark it 📌 1️⃣ LLM University by Cohere

A deep dive into the world of LLMs. Understand how they work, their applications, and how to build & deploy apps using LLMs.

docs.cohere.com/docs/llmu

I started my Data Science career back in 2018 and spent countless hours practicing it.

Here is the ultimate roadmap to become a data scientist.

(A thread) 🧵👇 1. Start with the foundations: Focus on these areas in the given order 👇

- Programming (Choose Python or R)
- Linear Algebra
- Calculus
- Probability
- Statistics
- Machine Learning

BREAKING: The future of object detection is here!

Meet YOLO-NAS, open-sourced YOLO-based architecture redefining state-of-the-art in object detection. What makes YOLO-NAS so special?

1. Enhanced small object detection
2. Hybrid quantization
3. Improved localization
4. Performance-per-compute ratio
5. Optimized for real-time edge-devices

ChatGPT for Coding 🤯

Github launches copilot X: The ultimate AI powered developer experience!

It brings ChatGPT like experience to your code editor with AI enabled auto Pull Requests and AI powered search for your documentation.

(A thread) 🧵👇 twitter.com/i/web/status/1… Introducing Copilot for Pull Requests: AI-generated descriptions & tags powered by GPT-4!

Level Up your PR process with this game-changing new AI feature by GitHub 🔥

Breaking 🚨

After Microsoft, Opera adds ChatGPT like generative AI features to its web browser 🔥

LLMs are getting everywhere and changing the web browsing experience as we know it!

AI Prompts in Opera Browser lets you summarize or explain the text, and even help craft social media posts.

It provides a personalized web browsing experience to cater to the user's interests and needs.