🌀 Gain the expertise you need in Large Language Models (LLMs), a rapidly evolving field in AI, including hands-on practice.

AI isn’t one big leap, it’s a series of steps - Python, ML, Deep Learning, NLP, and then the world of Generative AI.

The repository contains small examples, code snippets, and guides demonstrating experiments with Google's DeepMind Gemini models. Here you will find useful samples for integrating and using various Gemini features, including working with the OpenAI SDK and Google Search.

🌀 Learn to design, implement, and optimize RAG systems for chatbots and decision support, while exploring current research and ethical considerations.

By blending the grayscale and blurred invert layers, we simulate the effect of a hand-drawn sketch. A simple yet powerful technique!

# Importing the Required Moduel
# pip install opencv-python
import cv2 as cv

# Reading the image
# Replace this image name to your image name
image = cv.imread("avatar.jpg")

# Converting the Image into gray_image
gray_image = cv.cvtColor(image, cv.COLOR_BGR2GRAY)

# Inverting the Imge
invert_image = cv.bitwise_not(gray_image)

# Blur Image
blur_image = cv.GaussianBlur(invert_image, (21,21), 0)

# Inverting the Blured Image
invert_blur = cv.bitwise_not(blur_image)

# Convert Image Into sketch
sketch = cv.divide(gray_image, invert_blur, scale=256.0)

# Generating the Sketch Image Named as Sketch.png
cv.imwrite("Sketch.png", sketch)

🌀 Explore small language models, their advantages, and how to run them locally.