LangChain: Build your own AGI

[@imtanuki4106]

Finally - someone who understands the meaning of "conceptual"!

[@lucidateAI]

Thanks for your comment! I try to keep my concepts as 'conceptional' as possible! Lucidate....

[@danquixote6072]

Really like the idea of personifying each aspect of LangChain. As a non coder who is working through the documentation of LangChain, I found this very helpful.

[@lucidateAI]

Hi Dan, I appreciate the positive feedback. Really glad that you found it helpful.Hopefully this is useful to keep in mind in the next video when we build a simple LangChain app. Greatly appreciated. Lucidate.

[@123456crapface]

As a non coder you should stay in your lane

[@lucidateAI]

I'm not sure I follow? Code and coders are essential for building quality apps. But code can also be used - can it not? - for demonstrating abstract concepts. I'm puzzled and yet intrigued by your observation. Would love to hear more! Lucidate

[@Lolleka]

@@123456crapface As a not very friendly human you should stay in your lane

[@lucidateAI]

Hi @Lolleka, I hope you enjoyed the video and found other content on the rest of the channel informative! Please let me know if there are topics I've not covered that you'd like to see; or if you feel that there are topics I've covered poorly and should revisit. Best wishes, Lucidate.

[@yolamontalvan9502]

This video helped me a lot to become interested in Langchain. Thanks.

[@lucidateAI]

Delighted you found it inspirational and insightful. Have you checked out some of the other LangChain videos in this playlist LangChain kzbin.info/aero/PLaJCKi8Nk1hwZcuLliEwPlz4kngXMDdGI ? Lucidate.

[@derhoc]

Wow! This was an amazing conceptual explanation! I love the biological analogy! We really need a more interdisciplinary approach to help us understand these new technologies.

[@lucidateAI]

Der Hoc. Glad you enjoyed it! Also I couldn’t agree more with your sentiment on the interdisciplinary approach. I hope that there are other materials in this playlist and on the Lucidate channel that you also find useful. Greatly appreciated, Lucidate.

[@blacksailstudio]

It's revolutionary and our Black Sun will shine

[@jichaelmorgan3796]

Amazing summary, thank you for providing this framework for understanding the technology.

[@lucidateAI]

You are most welcome. I’m glad you found it useful, and your generous feedback is greatly appreciated. With thanks, Lucidate.

[@lucidateAI]

We’re these other LangChain videos useful? kzbin.info/aero/PLaJCKi8Nk1hwZcuLliEwPlz4kngXMDdGI. Lucidate

[@jayhu6075]

What a clear explanation with schema's, that make a visual understandable. Many thanks.

[@lucidateAI]

Jay, you are very welcome. Thanks for the comment and positive feedback. I'm really glad you found it useful. And I'm delighted to welcome you as a member! Greatly appreciated! I hope you enjoy the perks and content. Richard.

[@ishanr8697]

Plural= schemata

[@lucidateAI]

Thanks

[@lucidateAI]

www.merriam-webster.com/dictionary/schema

[@jayeshghule1]

Please tell me you used chatgpt for creating content of this video... Thanks for the content

[@lucidateAI]

You are welcome. Manim and Final Cut Pro X were the tools. Mid journey and Dall-E are not up to the task of video content production yet, but that is simply a matter of time.

[@pranavmarla]

That was a great analogy!

[@lucidateAI]

Glad you found it helpful!

[@jichaelmorgan3796]

We aren't losing jobs, we are gaining low cost tireless high level employees. We are in colonial America and the whole American frontier is available to us. Greed, addiction to accumulating wealth and power, as the crypto world has shown us once again (get rich quick, to the mooon, don't get left holding the bag, over properly developing the technology), is our greatest obstacle for creating an incredible future...

[@lucidateAI]

You're spot on, we're not exactly losing jobs, we're gaining a troupe of tireless high-level workers - or should I say, to continue your 1700s theme - 'indentured servants', that don’t even need a pint at the end of a hard day's work. It's like being back in the colonial times, only this time, we have a whole new American frontier at our fingertips, not just Boston Harbour (spelt with a "u") - and thankfully, no tea crates are being tossed overboard! That said, you're absolutely barking up the right tree about the dangers of greed and the obsession with amassing wealth and power - it's like your 1850's Gold Rush all over again, or as you put it, the wild world of crypto. Instead of racing to see who can fill their coffers the fastest, we should be taking a good hard look at developing this technology in a way that doesn't leave anyone with the short end of the stick - we're looking at you, Boston Tea Party. You're dead right - we need to put the brakes on the 'get rich quick' mentality and focus on making this technology something that'll really make a difference in people's lives. After all, we don't want another 'no taxation without representation' situation on our hands, do we? So here's to that 'incredible future' you're talking about. With a bit of that British stiff upper lip, a sprinkle of careful development, and a dollop of ethical use, we can all be part of this exciting new frontier. Thanks for your bang-on perspective - it's conversations like these that keep us on the straight and narrow. Tally ho and onwards! - Lucidate (from the UK).

[@flickwtchr]

So essentially you are saying those on the wave of AI have the chance to boot everyone else aside for a __cking buck. I get it. We are going to loose jobs, you are just convinced you're not one of them. Good luck.

[@lucidateAI]

Not really. I think the future of anything, AI is no different, is uncertain. But I do agree with Jichael Morgan that there is way more opportunity and hope than threat and fear. Life Sciences are benefitting from AI, particularly in the realm of diagnostics. I also believe (but I clearly do no know, I am a humble consultant, not a prophet) that AI, as with all great technology innovations will be a net creator of jobs. That does mean that some jobs will cease to have as much relevance, but more jobs will be created to use the technology. This is perhaps against the current orthodoxy promoted by the media, and as I said it is a humble, personal view. Not a concrete fact. I'd be keen to hear your views on the matter, in particular if they differ from my own. You comment and contribution is greatly appreciated. I hope they continue and we can express a respectful plurality of differing opinions on this channel. Very best and thanks, Lucidate.

[@jichaelmorgan3796]

@lucidateAI I might add that predicting what's about to come is like being able to predict iphones, Facebook, netflix, etsy, Amazon, udemy, or tinder in 1985, which was all thanks to the worlds and entire job markets which personal computers and internet automation opened up.

[@lucidateAI]

Very true.

[@blacksailstudio]

I have to say, outside the scope of the presentation; you have an excellent voice for this, unless this is some new voice clone of exceptional quality :P

[@lucidateAI]

That is very kind of you!

[@blacksailstudio]

@@lucidateAI it is very true!

[@theresasnell3425]

Nice very well done. Bavo

[@lucidateAI]

Thank you! Cheers! I hope that you enjoy some of the other videos on the channel at least as much as this! Lucidate.

[@michaeldausmann6066]

Thanks for taking the time to put together the content, it clearly took some effort. Unfortunately It didn't really clarify where LangChain fits for me. Indexes are like a digestive system? Also, so many top level concepts, feels overcooked. I will watch some of your other content.

[@lucidateAI]

Thanks Michael for your thoughtful comment. I'm sorry that the Biology analogy did not work for you. My wife is a biologist and this is how I explained it to her. There are also a few Life Sciences viewers on the channel, consequently I thought it might be useful in the video. Obviously it added little to no value in your case. Apologies again. In what subjects are you most interested? If you fling a couple over I'd be happy to take up the challenge of coming up with an analogy in that discipline for the LangChain components. I'm not promising that the analogy will be any good, but I am promising that I will give it my best shot! Keen to hear what you think about the other Lucidate comment. Thanks for taking the time to reply and offering your critique and constructive comment. Lucidate.

[@lucidateAI]

Did you get a chance to check out some of the other videos in the LangChain series? kzbin.info/aero/PLaJCKi8Nk1hwZcuLliEwPlz4kngXMDdGI

[@Contemplatium]

I would really like a chat bot in my Element server that I could just tell to do things and it would go and do them using the comprehension level of GPT4 that could spawn more specialized versions of itself and give orders through natural language that I could observe. I'd build the server with rooms for different tasks and teams (agents) like I would a building. My personal AI assistant, I'd call it EDA, Executive Director Agent.

[@lucidateAI]

Sounds great. Can’t wait to hear how you get on!

[@lucidateAI]

While not as complex as the agent you suggest this playlist addresses some of the concepts that you lay out in your comment kzbin.info/aero/PLaJCKi8Nk1hxu0j2JDn3tHfxRC7tP3mDI, have you seen any of these videos? Lucidate

[@Zencarbine]

once i heard ‘delve’ i was like ah, i’m like a ai detector haha

[@lucidateAI]

I can’t stop delving. Other than that; video any good?

[@mbrochh82]

Video starts at 2:45

[@lucidateAI]

You feel I could have skipped the intro and the setup of why this is important? (I'm not disagreeing with you, merely seeking clarification). Or have I misunderstood your point? Lucidate.

[@henrycogo3013]

@@lucidateAI Your video was perfect. It's unfortunate that individuals expressing their opinions did not simply communicate "Would you break up your video into bite-size nuggets of timestamped chapters so I can freely control what is not relevant to my level of intelligence {absence of humility} [ or ignorance {absence of hubris} ]"?" As opposed to digressing to a simple snide remark { prevalent envy hidden behind disabling comments with their own playlist content }. Your content is worthy of citation. Thank you for posting.

[@lucidateAI]

Many thanks for your generous comment. Thanks for your support of, and contribution to, the Lucidate channel. Greatly appreciated. I hope you find the other materials just as illuminating. With since thanks, Lucidate.

[@JohnTitor-yh7gu]

Aaah man, I thought it was a tutorial

[@lucidateAI]

Hi John. Thanks for the reply - was this LangChain video more of what you were looking for?

[@labsanta]

Title: [[Lang Chain and Its Components: An Orchestrated Symphony of AI Applications]] by @Lucydate Goal: The goal of this text is to provide a comprehensive breakdown of Lang Chain and its components, illustrating how they work together seamlessly to create interactive, intelligent, and adaptive applications. Concepts: [[Chains]] - End-to-end wrappers that combine various components to accomplish a common use case. [[Large Language Model]] - A model that plays a crucial role in Lang Chain, each with a unique way of understanding inputs and generating outputs. [[Chain Index]] - Related chains that manage and categorize documents, ensuring their accessibility. [[Prompt Selector]] - Translates user input into a format that the model can understand and generates a response. [[Toolkit Agent]] - An action-oriented component that takes user input, decides on an action, and uses the appropriate tool to generate a response. [[Agent Executor]] - Coordinates with various departments to satisfy a business outcome. [[Schema]] - The blueprint or DNA of the Lang Chain architecture, defining the rules and standards. [[Models]] - Similar to organs in a biological organism, each with a specific function and unique understanding. [[Prompts]] - Sensory organs of the system, interpreting external stimuli and translating them for the model. [[Indices]] - Manage, categorize, and retrieve documents, ensuring their accessibility. [[Memory]] - Keeps a record of past interactions and provides context to the present. [[Agents]] - Similar to CEOs, coordinating activities and satisfying business outcomes. [[Information Retrieval]]: Indices in LangChain handle document management and retrieval, enabling efficient access to relevant information. Key Elements: #Chains #LargeLanguageModel #ChainIndex #PromptSelector #ToolkitAgent #AgentExecutor #Schema #Models #Prompts #Indices #Memory #Agents [[Integration Principle]] - Integrate different components to create a cohesive interactive and responsive AI system. [[Tool Selection]] - Choose the appropriate tool to execute an action. [[Component Integration]] - Work closely with every other component to integrate them effectively. [[Personification Principle]] - Personify the components to better describe their place in the Lang Chain architecture. [[Schema as Architect]] - Defines the blueprint, rules, and standards. [[Models as Engineers]] - Each model has a unique understanding and way of performing tasks. [[Prompts as Translators]] - Translate user input for the models and vice versa. [[Indices as Librarians]] - Manage, categorize, and retrieve documents. [[Memory as Historian]] - Keeps a record of past interactions and provides context. [[Chains as Logistics Managers]] - Sequence various components to create a finished product. [[Agents as CEOs]] - Coordinate with departments to achieve specific objectives.

[@lucidateAI]

Nailed it again!

[@raygiguette8677]

Too vague and summary to be useful.

[@lucidateAI]

Hi Ray, sorry that you feel that way. If you can stick around and watch the next video in this series when we use this framework to build an Equity research app (video will be out tomorrow - code for the app is here on Github -> github.com/mrspiggot/FinGPT) then I hope I can win you over as a fan. But only you can be the judge of that. In any event all feedback is greatly appreciated and I sincerely appreciate the time you took to watch the video and write the reply. I only hope that (if you do choose to watch it) you find the next video more useful. Appreciate your comment and sorry to disappoint. Lucidate.

[@jichaelmorgan3796]

​@@lucidateAIthis sounds amazing, thanks!

[@jichaelmorgan3796]

​@@lucidateAI also, do you know of any LLMs that work ok on Intel i5 levels of computer with 16 gb of ram?

[@lucidateAI]

For inference you can easily run LLMs on that spec. Training is clearly an altogether different matter and requires time, patience and a lot of hardware, with GPUs and lots of RAM. But you can find a bunch of suitable models at HuggingFace such as: OpenAI's GPT-2 model, particularly the smaller variants such as "gpt2-medium" or "gpt2-small," which are more lightweight and suitable for your specified hardware configuration.Hugging Face's DistilBERT, which is a distilled version of the BERT model and offers efficient inference capabilities on constrained hardware. Google's ELECTRA model, specifically the "electra-small" variant, designed to strike a balance between performance and resource requirements. These models, among others, have been optimized to run on hardware configurations similar to yours, offering reliable inference performance without overwhelming your system's resources.

[@lucidateAI]

You are welcome.