AI for beginners: Begin your AI developer journey in 2024

Written by Et Tu Code

Narrated by Helen Green

Are you intrigued by artificial intelligence (AI) and eager to delve into its realm? Look no further! This guide is tailored to beginners, offering a comprehensive introduction to AI in 2024.

Section 1: Introduction to AI

Learn about AI basics like machine learning, deep learning, and neural networks and their transformative impact on industries.

Section 2: AI Fundamentals

Delve into AI principles such as supervised/unsupervised learning, reinforcement learning, and model types and applications.

Section 3: AI Tools and Frameworks

Discover popular tools like TensorFlow, PyTorch, and Keras for building and training AI models.

Section 4: Practical AI Applications

Explore AI's real-world uses in healthcare, finance, marketing, and more for problem-solving and decision-making.

Section 5: Building Your First AI Project

Step through creating your initial AI project, covering data preprocessing, model training, and evaluation.

Section 6: AI in 2024 and Beyond

Stay updated on AI advancements like Generative AI, Large Language Models (LLMs), OpenAI, and Llama 2.

Section 7: Generative AI

Learn about Generative AI's ability to create realistic content in entertainment, advertising, and healthcare.

Section 8: Large Language Models (LLMs)

Explore LLMs like BERT, RoBERTa, and XLNet, revolutionizing natural language processing.

Section 9: OpenAI

Understand OpenAI's impact on AI research, robotics, and its commitment to ethical AI development.

Section 10: Llama 2 - Meta AI

Discover Llama 2's advancements and potential applications across industries.

Section 11: Hugging Face AI Community

Engage with Hugging Face's vibrant AI community for resources, tutorials, and updates on AI developments.

• Language: English
• Publisher: Et Tu Code
• Release date: Apr 15, 2024
• ISBN: 9798882255366