Learn Mistral AI – JavaScript Tutorial

Jun 18, 2024 09:03 PM - 4 months ago 47943


✏️ Study this people interactively connected Scrimba: https://v2.scrimba.com/intro-to-mistral-ai-c035?utm_source=youtube&utm_medium=video&utm_campaign=fcc-mistral Learn really to usage nan Mistral AI to build intelligent apps, each nan measurement from elemental chat completions to precocious use-cases for illustration RAG and usability calling. Created successful collaboration betwixt Mistral AI and Scrimba. Code is disposable connected nan Scrimba people page for each lesson. You will study really to build intelligent applications that span from straightforward chat completions to analyzable functionalities for illustration Retrieval-Augmented Generation (RAG) and usability calling. Starting off, you’ll get an preamble to Mistral's open-source models, including Mistral 7B and Mistral 8x7B, and advancement to their commercialized models. You'll summation hands-on acquisition leveraging nan afloat suite of Mistral’s La Plateforme. The remainder of nan people is chiefly focused connected 2 basal paradigms successful AI engineering: knowledge retrieval and AI agents. In nan first part, you’ll study really to divided matter documents pinch LangChain, person them into embeddings, shop them successful a vector database, and yet execute retrieval. In nan AI agents segment, you’ll study really to springiness Mistral entree to nan functions wrong your app, and fto their models determine erstwhile to telephone them. This accomplishment will alteration you to create a full caller type of personification experience, wherever group tin interact pinch your apps done speech alternatively of specified clicking. Towards nan end, we will besides spell done really you tin usage Ollama to easy tally conclusion connected your ain computer, and usage it arsenic nan backbone of immoderate AI app you create locally. Created by Per Borgen from Scrimba. https://www.youtube.com/c/Scrimba ⭐️ Contents ⭐️ ⌨️ (0:00:00) Welcome to nan course ⌨️ (0:02:36) Intro to Mistral by Sophia Yang ⌨️ (0:05:41) Sign up for La Plateforme ⌨️ (0:07:08) Mistral's Chat Completion API ⌨️ (0:11:19) Mistral's Chat Completion API - portion 2 ⌨️ (0:15:20) Mistral's models ⌨️ (0:19:54) What is RAG? ⌨️ (0:24:19) What are embeddings? ⌨️ (0:30:35) RAG - Chunking matter pinch LangChain ⌨️ (0:35:27) RAG - Completing nan splitDocument function ⌨️ (0:37:20) RAG - Creating our very first embedding ⌨️ (0:39:51) RAG - Challenge: embedding each chunks and preparing it for nan vector db ⌨️ (0:44:34) Set up your vector database ⌨️ (0:47:27) Vector databases ⌨️ (0:47:51) RAG - Uploading information to nan vector db ⌨️ (0:50:36) RAG - Query and Create completion ⌨️ (0:55:30) RAG - Improve nan retrieval and complete nan generation ⌨️ (1:00:26) Function calling ⌨️ (1:05:46) Function calling - Adding a 2nd function ⌨️ (1:08:11) Function calling - Unpacking nan usability and arguments ⌨️ (1:12:00) Function calling - Making nan call ⌨️ (1:13:49) Function calling - Updating nan messages array ⌨️ (1:15:49) Function calling - Creating nan loop ⌨️ (1:18:41) Running Mistral locally ⌨️ (1:22:39) Outro & recap - Mistral AI 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to codification for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles connected programming: https://freecodecamp.org/news
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