What Is LangChain? - LangChain + ChatGPT Overview

Overview about why the LangChain library is so cool

In this video we're going to look at the problem with vanilla ChatGPT and how LangChain comes to the rescue.

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[venkats]

Excellent series for beginners, thank you Greg.

[nattapongthanngam]

Thanks a bunch! I spent the long weekend here in Thailand catching up on your videos and following your coding instructions. This video on LangChain was super helpful [What Is LangChain? - LangChain + ChatGPT Overview]! I just finished this one and I'm excited to keep going through your playlist. Thanks again!

[AliAliOxenFree]

This is really interesting. My boss told me to look into langchain and i think this playlist will give me some valuable insight to go along with the official documentation!
earned a new sub

[bobthebuilderish]

This is exactly what I've been looking for and thanks for the really good intro!

[Ubliquity]

Great series, Thanks for breaking it down to smaller chunks

[Sci-fi-Si]

By the way, thanks for this, it's very well presented, coherent and easy to follow 😀

[allisonmarquette]

I'm a teacher and I really like your style! and info!

[Amr-Ibrahim-AI]

Thank you for putting this together. Much appreciated.

[jorgecantero]

Really nice Nico!!! Really well explained!! It'll be really aweson see much more, and one end to end app with js

[kombosabinho]

Hey man! Thanks for taking the time to make this video. I really appreciate it 🎉 Peace bro

[aiprompt]

the best explanation on the internet! Thanks youu

[adgedenkers]

Can you do a tutorial on using locally running Alpaca with Lanchain? I need to use a LLM that can be used for sensitive information that we index and load into the LLM as context. Your videos are great man -- keep it up, I appreciate what you're doing!

[haydnmann]

This series is awesome, building these bots is so easy!

[andrewcraswell]

This is the missing playlist I've been searching the past two weeks for xD

[manojreddy]

Just subscribed, it's clear to the point🙂

[BrianHancock-ds]

You had me at RoaringKitty. Lol our sweet, wholesome boy!

[futureskyline]

Nice Intro! Looks to me, this is the flow orchestration system that specializes in LLMs tasks & components. This category of products exists already for other data automation solution, but now, LangChain is focusing on their LLM ecosystem building. That is my guess.

[oshodikolapo]

Just what I'm looking for, the practical aspect. Thanks

[geekyprogrammer]

Subscribed! Amazing intro to langchain!

[KunjaBihariKrishna]

I'm trying to understand how this works vs fine-tuning. Ultimately, I don't care about the difficulty of setting it up. I just need the best result.
I did a test with langchain and the results are quite good, but not nearly good enough. It's ok for most businesses I guess. But not for anything that involves complex or sensitive data.

I have access to thousands of saved tech-support and user-education conversations regarding our knowledge base. But I doubt that simply putting those into a fine-tuning format is going to eliminate hallucination.

So there's probably a huge amount of human work that would need to be put in preparing the data:
1. To remove anything that might potentially be ambiguous or confusing tot he LLM
2. To remove outdated information
3. To (somehow?) make sure that the LLM understands the difference between the information given/explained and the examples used to do so
- Which means that it would need a separate database of explicitly defined variables to ensure it can correctly interpret/understand the explanations given in the training data (Which, in my use case, would be thousands of variables. Though these can probably just be tucked in arrays, so that shouldn't be too difficult)
4. Figure out how the LLM interprets training data which contains prolonged conversations with people who had trouble understanding things.
- Will it take the from users and end up copying that into its own behavior?
- Do I need to weed out conversations that involved discussion about multiple topics, or is the LLM able to discern that?
And so on, and so on..

There are too many unknowns for me at the moment.