All current Embeddings Courses courses in 2024
11 Courses
RAG and Fine-Tuning Explained
RAG and Fine-Tuning Explained | LinkedIn Learning
Unlock the power of AI with our in-depth course on Retrieval Augmented Generation (RAG) and fine-tuning, offered by LinkedIn Learning. This course breaks down these advanced concepts to help you build robust enterprise applications. Perfect for those interested in artificial int.
LinkedIn AI Academy AI-100: 3 Scaling AI at LinkedIn
LinkedIn AI Academy AI-100: 3 Scaling AI at LinkedIn
Discover the fundamentals of AI applications and their scaling process at LinkedIn by joining the third installment of the LinkedIn AI Academy AI-100 series. This course, provided by LinkedIn Learning, delves into essential AI techniques and their implementation.
University: LinkedIn Learning.
Redis + AI: Building a Vector Database with Redis
Redis + AI: Building a Vector Database with Redis
Redis + AI: Building a Vector Database with Redis
Join our course to discover how developers can leverage ready-made AI-related tools within Redis. Provided by LinkedIn Learning, this course is ideal for those interested in:
Artificial Intelligence
Vector Databases
Redis
Embeddings
Str.
Google Gemini for Developers
Google Gemini for Developers
Join the Google Gemini for Developers course to master best practices, patterns, and processes essential for developers and DevOps teams designing and deploying LLM-based applications using Google Gemini. This comprehensive program, provided by LinkedIn Learning, equips you with the necessary skills to excel in the ev.
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.
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
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.
Introduction to Vertex AI Embeddings: Text and Multimodal
Introduction to Vertex AI Embeddings: Text and Multimodal
Explore the comprehensive world of Vertex AI with our self-paced lab, Introduction to Vertex AI Embeddings: Text and Multimodal. Conducted through the Google Cloud console, this lab provides hands-on experience with the Vertex AI Embeddings API, catering to both Text and Multimodal (Image.
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.
