demonstrates how to use Llama 3.2 models, specifically the 11B Instruct v1 version with AutoGen and OCR, through AWS Bedrock.

A programming framework for agentic AI. Discord: https://discord.gg/pAbnFJrkgZ

(py package) train your own tokenizer based on BPE algorithm for the LLMs (supports the regex pattern and special tokens)

Course Recommender System, powered by Flask, delivers tailored course suggestions based on user interests. Using content-based filtering and MongoDB integration

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Exercise files for my Pluralsight course

My DSA and SQL journey.

my understanding/ works

A list of useful payloads and bypass for Web Application Security and Pentest/CTF

event/ hackathons management app using django, azure SQL, and AWS S3 with rewarding features for the activity

Chatbot built using Flask and the OpenAI GPT-3.5 turbo model. The chatbot allows users to interact with a language model powered by GPT-3.5 turbo and get responses based on their input.

Async Techniques and Examples in Python Course

Gitmatch - personalized recommendation system, that recommends open-source repositories based on your skills, topics and languages from your GitHub

The chatbot is a rule-based system that classifies user intents using a bag-of-words approach. It predicts intents based on the user's input, retrieves a random response from a predefined set of re…