AI PM @tenstorrent 📕 Author of books on GPT-3 & Neural Search in Production ✍️ LLM Tips and Tutorials 📩 DMs open for collab
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Jul 2 • 10 tweets • 3 min read
Claude Sonnet 3.5 can now search the web with just 15 lines of Python code (step-by-step instructions):
1. Install the necessary Python Libraries
Run the following command from your terminal.
Jun 30 • 4 tweets • 2 min read
Run Llama-3 on someone else's computer using world's largest peer-to-peer network for AI agents (100% free)
Here's how you can do it in 4 simple steps:
Step 1: Go to
Step 2: Simply install the client app on your laptop
Step 3: Open the app on your laptop
Step 4: Install "Llama-3" from AI models or use the model running on someone else's machine. aios.network
Jun 16 • 8 tweets • 2 min read
68 Prompt Engineering techniques for every Generative AI usecase (explained with examples):
1. Basic Text Prompting Techniques
Jun 14 • 7 tweets • 2 min read
AI code assistant in VS code using Llama-3 running locally on your computer (100% free and without internet):
1. Install Ollama for your Desktop
• Download & Install the @ollama desktop app
• Run the following command to download llama-3 instruct model
Jun 8 • 10 tweets • 3 min read
Build an AI Travel Agent with GPT-4o in just 30 lines of Python Code (step-by-step instructions):
1. Install the necessary Python Libraries
Run the following commands from your terminal to install the required libraries:
Jun 7 • 12 tweets • 4 min read
Build a multimodal LLM chatbot using Gemini Flash in just 30 lines of Python Code (step-by-step instructions):
1. Install the necessary Python Libraries
Run the following command from your terminal.
Jun 6 • 11 tweets • 3 min read
Build a multi-agent LLM app with Llama-3 running locally on your computer (100% free and without internet):
1. Install the necessary Python Libraries
Run the following command from your terminal.
Jun 4 • 10 tweets • 3 min read
Build an AI Journalist Agent with GPT-4o in just 15 lines of Python Code (step-by-step instructions):
1. Install the necessary Python Libraries
Run the following commands from your terminal to install the required libraries:
Jun 3 • 12 tweets • 4 min read
Build a ChatGPT clone using Llama-3 running locally on your computer (100% free and without internet):
1. Install the necessary Python Libraries
Run the following commands from your terminal to install the required libraries:
Jun 2 • 10 tweets • 3 min read
Build an AI Investment Agent with GPT-4o in just 15 lines of Python Code (step-by-step instructions):
1. Install the necessary Python Libraries
Run the following command from your terminal.
May 23 • 11 tweets • 4 min read
Build a LLM app with RAG to chat with PDF using Llama-3 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
May 22 • 9 tweets • 3 min read
Build a custom AI agent with RAG to chat with your internal data without writing a single line of Python Code (100% free):
1. Go to and click on create chatbot. blackbox.ai
May 21 • 10 tweets • 3 min read
Build an AI Search Assistant with GPT-4o in just 15 lines of Python Code (step-by-step instructions):
1. Install the necessary Python Libraries
Run the following command from your terminal.
May 19 • 11 tweets • 4 min read
Build a LLM app with RAG to chat with GitHub using Llama-3 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
May 16 • 14 tweets • 4 min read
Build a Web Scrapping AI agent with Llama-3 running locally on your computer (100% free and without internet):
1. Install the necessary Python Libraries
Run the following command from your terminal.
May 12 • 13 tweets • 4 min read
Build a Web Scrapping AI Agent with RAG in just 30 lines of Python Code (step-by-step instructions):
We'll use ScrapeGraphAI, a Python library that uses LLMs to create smart scraping pipelines.
It involves four main steps: 1. Fetch: Retrieve the data 2. Parse: Analyze and structure the data 3. RAG: Processes the parsed data to find relevant information 4. Generate Answer
May 9 • 6 tweets • 2 min read
Document OCR in 90+ languages using python (100% free and without internet):
For document OCR, we'll use opensource toolkit Surya.
Python toolkit that does:
• OCR in 90+ languages
• Line-level text detection in any language
• Layout analysis (table, image detection)
• Reading order detection
• Outperforms Tesseract, on par with Google Cloud vision
May 4 • 11 tweets • 4 min read
Build a LLM app with RAG to chat with any AI newsletter on Substack in just 30 lines of Python Code (step-by-step instructions):
1. Import necessary libraries
• Streamlit for building the web app
• Embedchain for the RAG functionality
• tempfile for creating temporary files and directories
May 2 • 13 tweets • 4 min read
Build a RAG app with Llama-3 running locally on your computer
(100% free and without internet):
1. Install the necessary Python Libraries
Run the following command from your terminal.
May 1 • 16 tweets • 6 min read
Build a LLM app with RAG to chat with your Gmail Inbox in just 30 lines of Python Code (step-by-step instructions):
1. Install the necessary Python Libraries
Run the following command from your terminal.
Apr 29 • 10 tweets • 3 min read
Build a LLM app with RAG to chat with YouTube videos in just 30 lines of Python Code (step-by-step instructions):
1. Import necessary libraries
• Streamlit for building the web app
• Embedchain for the RAG functionality
• tempfile for creating temporary files and directories
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