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Artificial Intelligence: Foundations of Large Language Models (LLMs)
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Foundations of Large Language Models
Dive into the world of Artificial Intelligence and Large Language Models (LLMs) with this comprehensive presentation. Whether you're a beginner or an AI enthusiast looking to deepen your understanding, this video offers valuable insights into the technology that's reshaping our digital landscape.
TIMESTAMPS AND WHAT YOU WILL LEARN:
00:00 - Introduction
01:38 - Definitions: AI, LLMs, and Transformers
05:42 - Perception and Statistical Associations in AI
18:04 - Transformer Architecture Explained
23:54 - Understanding Embeddings & the Importance of Context in AI
35:43 - Prompt Engineering Basics
37:44 - AI Hallucinations: Causes and Implications
39:45 - Tokenization Process
42:12 - Probability Algorithms in LLMs
49:13 - Temperature in LLMs
50:45 - LLM workflow visualization
53:36 - Types of LLMs: Web-based vs Locally-run
57:30 - The AI Arena: Benchmarking and Comparison
59:25 - LLM Applications in Various Fields
1:00:57 - Key Takeaways and Future Perspectives
This presentation breaks down complex concepts into digestible segments, providing a solid foundation for understanding how LLMs work and their potential impact on various industries.
Whether you're a student, professional, or simply curious about AI, this video will equip you with the knowledge to engage in informed discussions about the future of artificial intelligence.
🔗 Resources mentioned in the video:
Don't forget to like, subscribe, and hit the notification bell to stay updated on our latest AI content!
#ArtificialIntelligence #MachineLearning #LLM #AIFoundations #TechEducation
Dive into the world of Artificial Intelligence and Large Language Models (LLMs) with this comprehensive presentation. Whether you're a beginner or an AI enthusiast looking to deepen your understanding, this video offers valuable insights into the technology that's reshaping our digital landscape.
TIMESTAMPS AND WHAT YOU WILL LEARN:
00:00 - Introduction
01:38 - Definitions: AI, LLMs, and Transformers
05:42 - Perception and Statistical Associations in AI
18:04 - Transformer Architecture Explained
23:54 - Understanding Embeddings & the Importance of Context in AI
35:43 - Prompt Engineering Basics
37:44 - AI Hallucinations: Causes and Implications
39:45 - Tokenization Process
42:12 - Probability Algorithms in LLMs
49:13 - Temperature in LLMs
50:45 - LLM workflow visualization
53:36 - Types of LLMs: Web-based vs Locally-run
57:30 - The AI Arena: Benchmarking and Comparison
59:25 - LLM Applications in Various Fields
1:00:57 - Key Takeaways and Future Perspectives
This presentation breaks down complex concepts into digestible segments, providing a solid foundation for understanding how LLMs work and their potential impact on various industries.
Whether you're a student, professional, or simply curious about AI, this video will equip you with the knowledge to engage in informed discussions about the future of artificial intelligence.
🔗 Resources mentioned in the video:
Don't forget to like, subscribe, and hit the notification bell to stay updated on our latest AI content!
#ArtificialIntelligence #MachineLearning #LLM #AIFoundations #TechEducation
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