Welcome and intro to Mistral

0:00 learn how to use mistal AI to build intelligent apps all the way from simple chat completions to Advanced use cases like Rag and function calling per borgan from scrimba created this course in collaboration with mistal AI you'll get hands-on experience with mistral's open- Source models including mistl 7B and mistl 8ex 7B and their commercial models by the end of this course you'll Master essential AI engineering paradigms enabling you to create sophisticated conversational user experiences and run AI models locally on your own computer hi there and welcome to this introduction to mistol AI my goal with this course is to teach you how to build magical stuff and more specifically how to do that using JavaScript and mistal AI if you don't know what mistal is it is a company that builds so-called foundational models that in 2023 twice managed to stun the AI Community by launching small open-source foundational models that were on par with the best close Source models out there so as an AI engineer mistel is definitely something that deserves your attention

1:12 in this course we are going to start off by looking a little bit closer at mistel in general and their platform before we dive into the API Basics and how to use their JavaScript SDK as this course is based around JavaScript though their python SDK is similar so even if you prefer python over JavaScript you'll still get a ton of value value from this course we are also going to go through all of the models that mistl offers at the time of recording this course including their embedding model which lets you work with Vector databases which you'll also get an introduction to in order to give your AI apps domain knowledge which for example could be proprietary company data real-time information that the model hasn't been trained on or for example extra in-depth knowledge about a specific subject that is too narrow for the AI to have been trained on and we'll do this through a technique called retrieve augmented generation AKA rag you'll also learn how to build AI agents with function calling enabling your apps to take action based upon the user prompt a truly revolutionary Paradigm and finally you'll learn how to run your models locally on your computer and interact with them both via the terminal and a web page now who am I I've been a

2:21 developer instructor and startup founder for almost 10 years now and I'm also the CEO of the learning platform you're on now which is scrimba I use create tutorials on JavaScript react and AI engineering and in total they have been watched by literally millions of people through the scrimba platform corsera and YouTube I love to connect with my students so please click on either of these links if you're interested in connecting on either X or LinkedIn now you'll also see lessons from two other teachers as well throughout this course namely from Gil Hernandez one of our brilliant instructors here at scrimba and we're also proud to have Sophia Yang the head of developer relations at mistol contributing to this course so as you probably understand now this course is a collaboration between mistol and scrimba so we're not pulling this curriculum out of thin air it has been created in partnership with the company itself if you ever find yourself lacking some JavaScript skills or AI engineering Concepts please check out our frontend developer career path or this AI engineering course as those will help you get up to speed so with that let's get started hello it's this is Sophia yam

3:30 from Mr AI I like to welcome you to the course and give you a brief introduction of mrol Mr AI was founded last year by our three co-founders Arthur Tim and gam we first released our open W model Mr 7B in September last year we released a x7b mixture of experts model and that platform in December we currently have offices in Paris London and San Francisco Bay Area we offer six models for all use cases and business needs including two open source models mro 7B and mixol 8 x7b they're under open source AP par 2.0 license they great to started experimenting with we also offer four optimized Enterprise grate models Mr small for low latency use cases Mr medium or language based tasks and Mr Large for your most sophisticated needs we also offer an embedding model which offers the State ofth art embeddings for text to get started you can use our chat assistant L to interact with our model

4:42 right away just go to chat. m.ai and you can play with Lua there are several ways to use our models we offer API end points for all of our models through the platform you can subscribe and get an API key on the platform this is the easiest to use and deploy you can also use our model on cloud services which provide fastest deployment for Enterprise especially for those who already use cloud services you can also self- deploy our models on your own on Prem infrastructure this will give you more control and flexibility but it's the most complex among the three so it's a tradeoff between ease of deployment and level control so you can choose whichever you want for your own use cases and your business needs this course will focus on the platform and how to use Mr API for various tasks hope you enjoy the course okay in order to interact with the mistal API you need an API key which will'll get through their platform or La

5:51 platform as they call it so click on this image right here and you'll be taken to the mistal homepage and there you can click on the build now option that'll take you to the authentication screen so choose however authentication method you want and then in the next step you're asked to create a worksspace name and check off whether you're a solo Creator or doing this as a team member in a company whatever you choose click create workspace and there we go this is the platform and in order to get access to the API you have to provide a card or subscribe as they say here however you only pay for what you use so this is not an ongoing fixed subscription so just add your card and once you done that this box will go away and you can click on API keys to create Keys you can authenticate with click on the create new key and give it a name and an

6:38 expiration date and then create key now you'll only see this key once so be sure to save it as a scrimba environment variable you learn how to do that by clicking on this link right here and please don't take the time to try and copy this API key right here by the time you watch this scrim this key is no longer active as I've deleted it so go ahead and follow these steps and set the N variables in scrimba and then in the next scrim my colleague Gil will teach you the basics of how to interact with the mistal API through JavaScript hey in this tutorial we'll go over using the chat completion API which allows you to chat with a model that's fine-tuned to follow instructions so let's Dive Right In we're going to use