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AI Language Models and Foundation Models (2026)

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AI Language Models and Foundation Models (2026)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 2m | Size: 166 MB

Master the architecture of foundation models. Learn the evolution from BERT to multimodal systems, understand encoder/decoder architectures, and discover how AI agents use tools and memory to solve complex problems.

What you'll learn
Start working on the skills required to understand the cutting edge of AI: multimodal foundation models and autonomous agents.
In this course, AI Language Models and Foundation Models, you will gain the ability to dissect the architectures that power the AI revolution, moving beyond simple text generation to understand how models see and act.
First, you will explore the Evolution and Architecture of these models. You will define what makes a "Foundation Model" and break down the core Transformer types: Encoder-only (BERT), Decoder-only (GPT), and Multimodal variants.
Next, you will discover the power of agents and autonomy, learning how modern AI extends beyond static prompts by utilizing tools, memory, and planning to perform complex tasks.
Finally, you will witness transfer learning in action, seeing how a massive pre-trained model can be adapted for a specific task through a hands-on fine-tuning demonstration.
When you're finished with this course, you'll have the skills and knowledge of AI language models and foundation models needed to comprehensively understand these models, explore their real-world applications, and effectively fine-tune them for various language processing tasks.

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