Video course · 11 chapters · 96 min · certificate
Non-Technical Intro to Generative AI
A non-technical intro to generative AI: then vs now, why GenAI is possible now, its lesser-discussed sides, decentralised AI, LLM APIs and inference, app patterns from text completion and chatbots to RAG, downstream NLP tasks, LLM agents and the LLM OS idea.
What you'll learn
- Describe how AI evolved into GenAI
- Explain why GenAI is possible now
- Discuss decentralised AI
- Understand LLM APIs and inference
- Recognise app patterns: chatbots, RAG, agents
- Explain the LLM OS concept
Chapters
11 chapters · 95:33-
17:46
01Intro Members
AI then vs now
Evolution.
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5:00
02Drivers Members
Why GenAI is possible now
Research pace.
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15:47
03Nuance Members
The less-discussed side of GenAI
Hidden aspects.
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16:17
04Decentralised Members
Decentralised AI
A preference explained.
-
6:58
05APIs Members
LLM APIs
Inference.
-
3:02
06Patterns Members
LLM app framework and text completion
Where to use LLMs.
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4:17
07Chatbot Members
Chatbots
Short-term memory.
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10:29
08RAG Members
RAG: LLM with knowledge
Long-term memory.
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3:14
09NLP Members
LLMs for downstream NLP
Classic tasks.
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9:15
10Agents Members
Agents based on LLMs
The trend.
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3:28
11LLM OS Members
LLM OS
LLM at the centre.
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