AI Resources

Important Topics

Traditional AI Tech

Machine Learning Frameworks

Computer Vision

Natural Language Processing

Data Processing & Analysis

MLOps & Model Deployment

Generative AI Tech

Large Language Models

Image Generation

Code Generation

Audio/Speech

Video Generation

AI Development Platforms

Vector Databases & RAG

AI Challenges Round 1

(1) Build a Movie Recommendation System using collaborative filtering, content-based filtering, and hybrid approaches with explicit feedback.
(2) Create an Image Classification System using CNNs to classify different categories of images with data augmentation and transfer learning.
(3) Build a Sentiment Analysis API that can analyze text sentiment across multiple languages using pre-trained models and custom training.
(4) Create a Chatbot using traditional NLP techniques (intent recognition, entity extraction) with conversation management and context tracking.
(5) Build a Price Prediction System for real estate using various regression algorithms, feature engineering, and model comparison.
(6) Create an Anomaly Detection System for network traffic or system logs using unsupervised learning techniques.
(7) Build a Credit Risk Assessment System using classification algorithms with proper feature selection and model validation.

AI Challenges Round 2

(1) Create a RAG (Retrieval-Augmented Generation) System that can answer questions about your personal knowledge base using vector embeddings.
(2) Build a Code Generation Assistant that can generate code in multiple programming languages based on natural language descriptions.
(3) Create a Multi-modal AI System that can process both text and images to provide comprehensive responses (like describing images or creating images from text).
(4) Build an AI-powered Content Moderation System that can detect harmful content across text, images, and videos with high accuracy.
(5) Create a Personal AI Assistant that can schedule meetings, send emails, and manage tasks through natural language conversations.
(6) Build a Fine-tuned LLM for a specific domain (legal, medical, financial) with proper training pipeline and evaluation metrics.
(7) Create an AI Agent System that can browse the web, extract information, and perform tasks autonomously with safety guardrails.

AI Challenges Round 3

(1) Build a Multi-Agent AI System where different AI agents collaborate to solve complex problems with coordination and conflict resolution.
(2) Create an AI Model Training Pipeline with automated hyperparameter tuning, distributed training, and model versioning on cloud infrastructure.
(3) Build a Real-time AI Inference System that can handle millions of requests with sub-second latency using model optimization and caching.
(4) Create an AI Safety and Alignment System with red-teaming, jailbreak detection, and content filtering with continuous monitoring.
(5) Build a Federated Learning System where multiple parties can train models collaboratively without sharing raw data.
(6) Create an AI Explainability Dashboard that can provide interpretable explanations for model decisions using SHAP, LIME, and other techniques.
(7) Build a Continuous Learning AI System that can adapt to new data patterns without forgetting previous knowledge (catastrophic forgetting prevention).

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