Video course · 15 chapters · 74 min · certificate
How to choose the best LLM?
Tina Huang with Louie Peters (Towards AI) on choosing the best LLM: barriers to adoption, security and privacy, choosing models, market competition, open vs closed, scaling laws and beyond, the future of competition, evaluation, agentic workflows, cost vs performance, reasoning models and top picks.
What you'll learn
- Identify barriers to LLM adoption
- Weigh security and privacy
- Compare open and closed models
- Understand scaling laws and data quality
- Evaluate models for your use case
- Balance cost, performance and reasoning
Chapters
15 chapters · 73:35-
6:12
01Intro Members
Introduction and Louie Peters
Towards AI.
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4:16
02Barriers Members
Barriers to AI adoption
Why people don't use it.
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2:21
03Security Members
Security and privacy
Data concerns.
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5:54
04Choose Members
Choosing the right LLM
Users and devs.
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4:43
05Market Members
Market competition
Pricing pressure.
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10:04
06Open vs closed Members
Open source vs closed
Cheap APIs.
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2:53
07Scaling Members
AI scaling laws
Compute.
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7:50
08Data Members
Improving beyond scaling
Better pre-training.
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4:15
09Future Members
Future of AI competition
Will one win?
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4:57
10Evaluation Members
Model evaluation strategies
Test for your use case.
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4:24
11Agents Members
Agentic AI workflows
Your IP.
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4:08
12Trade-offs Members
Cost vs performance
Trial and error.
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2:44
13Reasoning Members
Reasoning models explained
Inference-time thinking.
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5:17
14Picks Members
Top model recommendations
Favourites.
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3:37
15Resources Members
Towards AI resources
Learn more.
Jobs this course suits
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