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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


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