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Shubham Saboo Profile picture
@Saboo_Shubham_
Mar 22, 2023 • 7 tweets • 4 min read • Read on X
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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 🔥
Introducing GitHub Copilot for Docs: AI-powered answers to your documentation questions at your fingertips!

Starting with #React, #AzureDocs, and #MDN, say hello to a smarter way to explore docs for your favourite languages, frameworks, and technologies.
Meet GitHub Copilot CLI - the ultimate terminal companion for devs 💥

Compose commands, loops, and even find obscure flags effortlessly. Get ready to level up your CLI game.

Say goodbye to endless scrolling & syntax struggles!
Since its launch in June 2022 even less than an year. It has completely changed the coding game for every developer.

Numbers speak for themselves 🤯🔥
- 1 M+ developers using GitHub Copilot
- 46% code written
- 55% faster coding
- 5k+ businesses using Copilot
Announcement Link: github.blog/2023-03-22-git…
Stay tuned and follow @Saboo_Shubham_ for more such AI related updates!

Subscribe to Unwind AI for free to get the weekly summary of AI updates delivered in your inbox 👇

unwindai.substack.com

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More from @Saboo_Shubham_

Shubham Saboo Profile picture
Sep 30
Finetune Llama 3.2 for free in just 30 lines of Python Code (step-by-step instructions):
For easy viewing, follow this blog post with step-by-step code instructions.

Alternatively, continue reading for detailed code instructions and steps.

theunwindai.com/p/fine-tune-ll…
1. Install the necessary Python Libraries

Run the following commands to install the required libraries: Image
Read 11 tweets
Shubham Saboo Profile picture
Sep 27
Build a LLM app with RAG to chat with PDF using Llama 3.2 running locally on your computer (100% free and without internet):
1. Import necessary libraries

• Streamlit for building the web app
• Embedchain for the RAG functionality
• tempfile for creating temporary files and directories Image
2. Configure the Embedchain App

For this application we will use Llama-3.2 using @ollama, you can choose from OpenAI, anthropic or any other LLM.

Select the vector database as the opensource chroma db (you are free to choose any other vector database of your choice). Image
Read 12 tweets
Shubham Saboo Profile picture
Sep 25
Build an Autonomous AI Web Agent that can take actions on its own in just 10 lines of Python Code (step-by-step instructions):
1. Install the required Python library

You will need to set the OPENAI_API_KEY variable in your local environment with a valid API key for this example to work. Image
2. Import the necessary components

This sets up the foundation for our web automation agent. Image
Read 9 tweets
Shubham Saboo Profile picture
Sep 24
5 opensource frameworks to build LLM apps with RAG (100% free):
1. @n8n_io

Opensource AI toolkit to build local LLM apps with RAG and AI agents.

It uses @ollama for serving local LLMs like Llama-3 and @qdrant_engine to for local vector database.

Comes with 100+ templates of LLM and RAG apps.

github.com/n8n-io/self-ho…
2. AutoRAG

Opensource framework to automatically find the optimal RAG pipeline for your data and deploy it in minutes with a few lines of Python Code.

github.com/Marker-Inc-Kor…
Read 8 tweets
Shubham Saboo Profile picture
Sep 20
Run an Opensource conversational AI model like ChatGPT voice mode locally on your computer in just three simple steps (100 % free and offline):
1. Install the Python Library Moshi MLX Image
2. Run the following command in your terminal to open the web application.

You mi Image
Read 7 tweets
Shubham Saboo Profile picture
Sep 14
Build an AI Customer Support Agent with memory using GPT-4o and vector database in less than 100 lines of Python Cod (step-by-step instructions):
1. Install the necessary Python Libraries

Run the following commands from your terminal to install the required libraries: Image
2. Import necessary libraries

• Streamlit for building the web app
• OpenAI for using GPT-4o
• Mem0 for personalized memory layer Image
Read 13 tweets

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