Large Language Models for Everyone
The “LLM for Everyone” collection offers an in-depth exploration of large language models (LLMs), covering everything from foundational concepts to advanced techniques for their practical application.
This comprehensive series will guide you through understanding LLMs, their role in enterprise settings, and how to effectively prompt and customize them for specific tasks. You’ll also dive into the complexities of transformer models and attention mechanisms, essential to modern AI, and learn how to manage the challenges and risks associated with adopting LLMs in various industries.
This collection equips learners with the skills needed to navigate the LLM landscape, including key considerations like ethical use, integration, and cost management.
What you'll learn
- Grasp the fundamentals of large language models (LLMs) and how they are applied in real-world scenarios.
- Learn how to customize LLMs through techniques such as training from scratch, fine-tuning existing models, and in-context learning.
- Understand the complexities and risks of adopting LLMs in enterprise environments, including legal, privacy, and ethical challenges.
- Learn the mechanics behind attention mechanisms, transformers, and embeddings, and how they enable LLMs.
- Gain insights into building and training transformer models, including semantic search and vector databases.
- Develop advanced prompting techniques for secure, efficient, and tailored use of LLMs across tasks and domains.
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4 Lessons
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3 Lessons
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3 Lessons
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5 Lessons