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Understanding and Effectively Using AI Reasoning Models

2025-01-22 Science & Technology
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LangChain
LangChain
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Description

With the imminent release of OpenAI's -o3 reasoning model and Deepseek's impressive R1 release, it's clear that reasoning models are improving rapidly. But, many aren't sure where they can be best applied or how to use them effectively. Here is a short primer, reviewing the scaling paradigm (RL on Chat-Of-Thought), practical prompting tricks, a set of emerging use-cases for reasoning models, and poractical usage of OpenAI's -o1. Video notes: https://mirror-feeling-d80.notion.site/Reasoning-Models-177808527b17809293ffd82abb3c05aa?pvs=4

Top Comments (10)

@christopherhartline1863 2025-01-22

We need LangChain merch. T-shirt can just say, "LangChain. Pretty cool."

14 1 replies
@devgangjee2684 2025-03-10

Thank you - this is excellent! I'm an IP Law Professor at Oxford and was looking for a functional overview of Reasoning Models in use cases - this reaches a very broad audience. Much appreciated!

4
@stephen.parslow 2025-01-29

Great vid. I so appreciate how you provide all the links in Notion!

3
@SriharshaSammeta 2025-02-25

Very well explained !

2
@carlkim2577 2025-01-24

Very good explanation. I'm not a programmer, but I can see how and when I would use this.

1
@promtior 2025-01-22

thanks for the explanation, amazing like always 💪

1
@sjakievankooten 2025-03-22

Your voice and way of explaining is very nice to listen to. Easy to understand and to watch until the end. Thank you very much!

0
@felixfussel8573 2025-03-29

Thanks so much for your Video and the sources!

0
@Lemure_Noah 2025-02-18

Awesome lecture! Love it!

0
@WhiteberryAI 2025-01-22

I think it couldve been interesting to show the differences in latency between using the newer more tailored prompt schema for the reasoning models and the older more direct reasoning asking queries for the same reasoning model to not only see the differences in quality but also thought time.

0

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