Foundation Models vs. Traditional Machine Learning: The Future of AI
What Makes Foundation Models in AI Different from Regular Machine Learning Models?
In this video, we dive deep into the world of foundation models in artificial intelligence. We'll explore what foundation models are, how they differ from traditional machine learning models, and why they are a game-changer in the field of AI.
Timestamps
00:00 Intro
00:11 What is a foundation model?
00:32 What Makes Foundation Models Different from Regular Machine Learning Models?
01:15 Real-life analogy to illustrate how foundation models work.
02:22 Examples of the use of foundation models in applications
03:01 What makes a model a foundation model? Key characteristics of a foundation model.
03:55 Examples of different foundation models
04:29 What is the difference between a foundation model and an LLM?
What You'll Learn:
-- Definition and Characteristics: Understand what foundation models are and their key features.
-- Real-life Analogies: Discover simple examples, like Jane's university education, to illustrate how foundation models work.
-- Applications in AI: See how foundation models like GPT-3, GPT-4, BERT, DALL-E, CLIP, T5, and LLaMA are utilized in various tasks such as text generation, translation, and more.
-- Foundation Models vs. LLMs: Clarify the difference between foundation models and large language models (LLMs).
Resource Mentioned:
Fine-tuning GPT-2: • Fine-Tuning GPT-2 Pt1. Fine-Tuning GP...
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Dr. Shahriar Hossain
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