AI for beginners
Et Tu Code
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.
Duration - 1h 50m.
Author - Et Tu Code.
Narrator - Helen Green.
Published Date - Saturday, 13 January 2024.
Copyright - © 2023 Et Tu Code ©.
Location:
United States
Description:
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. Duration - 1h 50m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Saturday, 13 January 2024. Copyright - © 2023 Et Tu Code ©.
Language:
English
Opening Credits
Duration:00:01:49
2 Preface
Duration:00:01:41
2 Preface
Duration:00:01:41
3 Introduction to AI
Duration:00:03:47
3 Introduction to AI
Duration:00:03:47
4 AI fundamentals
Duration:00:06:11
4 AI fundamentals
Duration:00:06:11
5 AI tools and frameworks
Duration:00:04:32
5 AI tools and frameworks
Duration:00:04:32
6 Practical applications of ai
Duration:00:04:34
6 Practical applications of ai
Duration:00:04:34
7 Building your first ai project
Duration:00:01:22
7 Building your first ai project
Duration:00:01:22
8 AI in 2024 and beyond
Duration:00:07:23
8 AI in 2024 and beyond
Duration:00:07:23
9 Generative AI
Duration:00:06:03
9 Generative AI
Duration:00:06:03
10 Generative ai generative ai algorithms
Duration:00:04:04
10 Generative ai generative ai algorithms
Duration:00:04:04
11 Large language models (llms)
Duration:00:04:45
11 Large language models (llms)
Duration:00:04:45
12 large language models (llms) popular llms
Duration:00:04:28
13 Large language models (llms) applications of llms
Duration:00:04:48
13 Large language models (llms) applications of llms
Duration:00:04:48
14 Openai
Duration:00:04:23
14 Openai
Duration:00:04:23
15 Openai popular openai products
Duration:00:03:19
15 Openai popular openai products
Duration:00:03:19
16 Openai chatgpt
Duration:00:04:42
16 Openai chatgpt
Duration:00:04:42
17 Openai openai models
Duration:00:04:12
17 Openai openai models
Duration:00:04:12
18 Llama 2 Meta AI
Duration:00:03:56
18 Llama 2 Meta AI
Duration:00:03:56
19 Llama 2 meta ai popular meta ai products
Duration:00:04:11
19 Llama 2 meta ai popular meta ai products
Duration:00:04:11
20 Llama 2 meta ai llama 2 meta ai models
Duration:00:03:07
21 Hugging face ai community
Duration:00:03:08
22 Hugging face ai community popular hugging face ai products
Duration:00:04:24
23 Hugging face ai community hugging face ai popular models
Duration:00:04:54
24 Conclusion and next steps
Duration:00:03:11
25 Glossary
Duration:00:05:48
26 Bibliography
Duration:00:03:32
Ending Credits
Duration:00:01:46