All current Vector Databases Courses courses in 2024
18 Courses
Hands-On AI: Building LLM-Powered Apps
Hands-On AI: Building LLM-Powered Apps
Course Title: Hands-On AI: Building LLM-Powered Apps
Description: Get started building apps powered by large language models in this hands-on, skills-based course for beginners.
University: Provider: LinkedIn Learning
Categories: Artificial Intelligence Courses, Prompt Engineering Courses, V.
Retrieval Augmented Generation (RAG) with LangChain
Expand your understanding of integrating external data with Large Language Models (LLMs) through Retrieval Augmented Generation (RAG) using LangChain. Although LLMs are now embedded in various technologies, they are limited by their training datasets. RAG addresses this challenge by combining LLMs with real-time external data.
In this course.
Optimizing Foundation Models (Traditional Chinese)
在本課程中，您將探索兩種改善基礎模型 (FM) 效能的技術：檢索增強生成 (RAG) 和微調。您將了解 Amazon Web Services (AWS) 服務，這些服務有助於使用向量資料庫儲存內嵌、客服在多步驟任務中的角色、定義微調 FM 的方法、如何準備用於微調的資料等等。
課程等級：基礎
課程時長：1 小時
本課程包括互動元素、文字指令和說明性圖形。
課程目標
識別有助於使用向量.
Optimizing Foundation Models (Indonesian)
Optimizing Foundation Models (Indonesian)
Dalam kursus ini, Anda akan mengeksplorasi dua teknik untuk meningkatkan kinerja model fondasi (FM): Retrieval-Augmented Generation (RAG) dan penyempurnaan. Anda akan belajar mengenai layanan Amazon Web Services (AWS) yang membantu menyimpan penyematan dengan basis data vektor, peran agen dalam tugas den.
Optimizing Foundation Models (Thai)
ในหลักสูตรนี้ คุณจะได้สำรวจเทคนิคในการปรับปรุงประสิทธิภาพของโมเดลพื้นฐาน (FM) สองประการ ได้แก่ Retrieval Augmented Generation (RAG) และการปรับละเอียด คุณจะได้เรียนรู้เกี่ยวกับบริการ Amazon Web Services (AWS) ที่ช่วยจัดเก็บการฝังข้อมูลด้วยฐานข้อมูลเวกเตอร์, บทบาทของเอเจนต์ในการทำงานหลายขั้นตอน, กำหนดวิธีการปรับแต่ง FM อย่างละเอียด, วิธีเตรียมข้อม.
Optimización de modelos fundacionales (Español LATAM) | Optimizing Foundation Models (LATAM Spanish)
Optimización de modelos fundacionales (Español LATAM) | Optimizing Foundation Models (LATAM Spanish)
En este curso, explorará dos técnicas para mejorar el rendimiento de un modelo fundacional (Foundation Model, FM): la generación mejorada por recuperación (Retrieval Augmented Generation, RAG) y el ajuste preciso. Aprenderá sobre los servicios de A.
AI Engineering
AI Engineering
This specialization teaches developers to build next-generation apps powered by generative AI. It covers topics like the OpenAI API, open-source models, AI safety, embeddings, vector databases, AI agents, how to speed up your AI development with LangChain, and much more.
University: Coursera
Project: Generative AI Applications with RAG and LangChain
Project: Generative AI Applications with RAG and LangChain
Get ready to put all your generative AI engineering skills into practice! This guided project will test and apply the knowledge and understanding you’ve gained throughout the previous courses in the program. You will build your own real-world generative AI application.
During this course.
Large Language Models: Application through Production
This course, designed for developers, data scientists, and engineers, focuses on creating applications centered around Large Language Models (LLMs) using cutting-edge frameworks. Participants will engage with Hugging Face for tackling natural language processing (NLP) challenges, utilize LangChain for complex, multi-phase operations, and explore th.
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Free Online Course (Audit)
6 weeks, 4-10 hours a week
On-Demand