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Akshay 🚀

Jul 26, 2023 • 6 tweets • 3 min read • Read on X

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Microsoft is offering FREE courses in following areas:

- AI
- IOT
- Data Science
- Machine Learning

A project-based pedagogy that allows you to learn while building! 🚀

Read More ...👇

1️⃣ AI for beginners

A 12-week, 24-lesson curriculum all about Artificial Intelligence.

You'll learn about:
- Neural Nets
- Deep Learning
- Knowledge representation
- Genetic Algorithms & multi-agent systems

Check this out 👇
https://t.co/rZ3Jdw2Le8microsoft.github.io/AI-For-Beginne…

2️⃣ IOT

Learn about IOT by doing project that cover the journey of food from farm to table.

This includes farming, logistics, manufacturing, retail and consumer - all popular industry areas for IoT devices.

Check this out 👇
https://t.co/o4GJM8gHzmmicrosoft.github.io/IoT-For-Beginn…

3️⃣ Machine Learning

A great course on classical machine learning, using Scikit-learn!

Check this out👇 https://t.co/vpUIczCZ5Tmicrosoft.github.io/ML-For-Beginne…

4️⃣ Data Science

This course covers Deep Learning & Data Science in more details!

Each lesson includes:
- hands-on assignments
- pre & post-lesson quizzes
- instructions to complete the lesson & solutions

Check this out👇
https://t.co/YmOsSEWr7Cmicrosoft.github.io/Data-Science-F…

That's a wrap!

If you interested in:

- Python 🐍
- Machine Learning 🤖
- Maths for ML 🧮
- MLOps 🛠
- CV/NLP 🗣
- LLMs 🧠

Find me → @akshay_pachaar ✔️

Subscribe to my Newsletter→

Everyday, I share tutorials on above topics!

Cheers!mlspring.beehiiv.com/subscribe

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More from @akshay_pachaar

Akshay 🚀

@akshay_pachaar

Jul 11

MCP is on fire.

AI agents can now talk to real world tools, apps and actually get stuff done.

This changes everything.

Here are 10 amazing examples:

1️⃣ WhatsApp MCP

Exchange images, videos, and voice notes on WhatsApp!

Pair it with the ElevenLabs MCP server for AI-powered transcription & audio messages with 3,000+ voices.

Check this out👇

2️⃣ MCP-powered Agentic RAG

I created this server for Cursor and lets it perform deep web searches, as well as RAG over a specified directory.

Everything from the comforts of your IDE:

Read 12 tweets

Akshay 🚀

@akshay_pachaar

Jul 10

90% of Python programmers don't know these 11 ways to declare type hints:

Type hints are incredibly valuable for improving code quality and maintainability.

Today, I'll walk you through 11 must-know principles to declare type hints in just two minutes.

Let's begin! 🚀

1️⃣ Type hints for standard Python objects:

The most basic (and must-know) way to declare type hints for standard Python objects is as follows👇

Read 15 tweets

Akshay 🚀

@akshay_pachaar

Jul 7

Temperature in LLMs, clearly explained (with code):

Let's prompt OpenAI GPT-3.5 with a low temperature value twice.

It produces identical responses from the LLM.

Check the response below👇

Now, let's prompt it with a high temperature value.

This time, it produces a gibberish output. Check the output below👇

What is going on here? Let's dive in!

Read 9 tweets

Akshay 🚀

@akshay_pachaar

Jul 3

7 MCP projects for AI Engineers (with video tutorials):

1️⃣ MCP meets Ollama

An MCP client is a component in an AI app (like Cursor) that establishes connections to external tools.

Learn how to build it 100% locally.

Full walkthrough:

2️⃣ MCP-powered shared memory for Claude Desktop and Cursor

Devs use Claude Desktop and Cursor independently.

Learn how to add a knowledge graph based common memory layer to cross-operate without losing context.

Full walkthrough:

Read 10 tweets

Akshay 🚀

@akshay_pachaar

Jun 28

I have tested 100+ MCP servers in the last 3 months!

Here are 6 must-use MCP servers for all developers (open-source):

1️⃣ Graphiti MCP server

Agents forget everything after each task.

Graphiti MCP server lets Agents build and query temporally-aware knowledge graphs, which act as an Agent's memory!

Check this👇

2️⃣ Opik MCP server

This enables traceability into AI Agents and lets you monitor your LLM applications, by @Cometml.

Tools include:
- Creating projects
- Enable tracing
- Getting tracing stats

Check this demo👇

Read 9 tweets

Akshay 🚀

@akshay_pachaar

Jun 25

Let's generate our own LLM fine-tuning dataset (100% local):

Before we begin, here's what we're doing today!

We'll cover:
- What is instruction fine-tuning?
- Why is it important for LLMs?

Finally, we'll create our own instruction fine-tuning dataset.

Let's dive in!

Once an LLM has been pre-trained, it simply continues the sentence as if it is one long text in a book or an article.

For instance, check this to understand how a pre-trained LLM behaves when prompted 👇

Read 12 tweets

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