Supercharge Your AI Automation Agency with LangChain

AI automation agencies are setting the stage for the next big opportunity you're probably been bombarded with reasons why AI automation agencies are the golden opportunity in 2023 but we are not talking about that today instead let's discuss the nitty-gritty the stuff you really need to know enter Lang chain let's discuss one what's line chain and two why should you as an AI automation agency give a hoot whether you're an agency that does no code low code or actual code you cannot afford to ignore it because almost every large language model app you build will use Lang chain under the hood and number three how do you learn it hey my name is money and in this channel we discuss content related to AI automation agency from developing offers effective Outreach Service delivery and everything in between so stay tuned okay Lang chain is an open source framework it's like a Powerhouse for developing applications Fired Up by language models such as GPT Claude llama and many more it's offered in Python JavaScript packages you might be thinking python JavaScript that's code yes indeed but don't let that scare you off there are plenty of no code or low code options out there hang till the end and I will show you three no code tools Master them and you will be on the same level of a seasoned line chain developer when it comes to building llm apps soundget so why in the world we need to learn line chain Lang chain is built around two big Ideas data aware and agent Tech for example chat GPT is not data aware it's like a horse with the blinders on it cannot connect with other data sources there are some plugins like chat with PDF but they start to fall apart when you connect it to let's say a database or multiple PDFs or CSV files Google analytics or large databases but with line chain we can Bridge these large language models to other data sources but how can you as an AI automation Agency use it imagine your client has an online store with thousands of reviews and hundreds of products we can create a bot that will read all the reviews label them answer them and report back the reviews that are time sensitive or your client is a law firm that has a lot of research data we can make a chat bot that can give them answers super fast and what is Agent it means your creation is not just a puppet it's not idling around waiting for instructions it's interacting with its environment like a living organism imagine multiple agents each interacting with each other responding to outside situations Westworld style there are a lot of autonomous agents we are not there yet but Auto GPT baby AGI GPT engineer building whole websites with a single prompt but as an AI automation agency owner imagine offering a service like this to a newsletter company let's say a Twitter bot working 24 7 scraping any information posted in an instant if this video piqued your interest and you're getting value from it remember to subscribe next video is actually building a chat bot from scratch using an open source tool called flowwise AI I'm starting a newsletter to share my AI automation agency Journey you'll find all the links in the description down below now let's put some more cards on the table I'll list some things we could do with line chain and you think about what services as an AIA automation agency owner you could offer to your clients hopefully this gets your creative wheels turning personal assistance visualize a digital assistant that knows all about your data it has all the knowledge and question and answering what a tool capable of driving answers from specific set of documents or books even CSV files SQL databases number three we have chat Bots a custom chat bot trained on a company's own data it's like having a virtual receptionist there are so many applications like code understanding data extraction summarization the applications of line chain are like stars in the sky they are countless and Brilliant let's talk about some of the important modules in line chain it is important to know as an AI automation agency when you're conversing with a client or your development team first we have models think of models as brains of Lang chain they are the ones doing the heavy lifting understanding and generating text there are few types that long chain uses for example large language models llms are like your smart friend who you can ask anything you give them a piece of text they give back a piece of text one time deal they don't have any memory then there are chat models they're a bit more specific you can give them a list of chat messages and they give back one chat message in this case we pass the previous messages in the conversation as a context with each new user message so the model has memory of your conversation this is really important when building chat Bots to your clients because how much memory should you give there are basically four types I'm not going into that right now that's a topic for another day lastly we have text embedding models these are the behind the scenes guys turning the text into numbers so the machine can make sense of the words that you input second we have prompts if you are watching this you know what a prompt is it's basically an instruction that you give to the model but with lime chain these prompts are usually hard coded into a prompt template when you build a chat bot or an AI application for your client you need to discuss every little detail that you're trying to automate only then write prompts for that you need to test these prompts thoroughly so users won't be able to misuse the app I will make a dedicated video on prompt engineering for AI automation agency soon coming back to 19 you may want to add some examples to these prompts so we have some example selectors that help you pick the best ones also since P output from the model is usually just text you have output parsers to help structure the output way your client wants and make it more meaningful then we have indexes imagine having a huge library of books and you need to find one specific book that's where indexes come in they help you structure the documents and make them easily accessible often they are used in retrieval step which is like asking a librarian the retriever to find the most relevant book based on your question next up we have change think of chains as the assembly line and a factory where each station each component does a specific job chains and Lang chain are basically the sequences of such components assembled in a specific way to get the job done for example the most common type of a chain is an llm chain how does it work it takes user input and it uses a prompt template to format it and it passes to the language model and gets a response it's not done yet it checks and corrects the output if necessary in future we will talk about QA retrieval chains router chains multi-prompt chains and more finally we have agents agents are like decision makers in line chain they are not restricted to a set of action remember they are not a puppet instead they have a suite of tools and can choose which tool to call based on the user input now as promised let's talk about the no code tools I've been itching to share with you we got flow wise AI stack Ai and Bot press trust me if you invest some time take the time to master it and really get to grips with this you'll be standing Toe to Toe with the seasoned long chain developer in no time much of the tutorials I will be sharing will revolve around these tools plus some other handy ones like zapier and make in fact I'm already finishing up the next video where we'll be building a custom chat bot using flowboys ai flowwise ai is basically Lang chain with no code everything that you could do on line chain you can do it on flow wise without the code if you don't want to miss out be sure to hit that subscribe button in that video we'll be using models chains indexes Vector databases and the best part it's all drag and drop we are already running long here so I won't keep you all the links are in the description down below see you in the next one

Channel: Mani Kanasani

Views: 1,067

Keywords: langchain tutorial, langchain ai, LangChain, LangChain Crash Course, ArtificialIntelligence, Artificial Intelligence, Deep Learning, Natural Language Processing, LangChain Tutorial, LangChain Simple Explaination, LangChain Easy Explanation, Large Language Model, ChatGPT, langchain explained, langchain agent, langchain demo, langchain 101, ai automation agency, aaa, supercharge, langchain

Id: BZ4A8dv6vv0

Length: 11min 15sec (675 seconds)

Published: Fri Jul 14 2023