Home AI Courses Retrieval Augmented Generation (RAG) - Intro

Retrieval Augmented Generation (RAG) - Intro

(0 reviews)

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

Key AI Functions:Python Programming,Machine Learning,Retrieval Augmented Generation,Large Language Models

Description

Reviews

Alternative Tools

Description for Retrieval Augmented Generation (RAG) - Intro

Learn to import data into Pandas and generate embeddings using SentenceTransformers.

Construct a retrieval augmented generation (RAG) system using your data, Qdrant, and LLMs like OpenAI or Llamafile.

Develop practical skills in building a generative AI application by creating an end-to-end RAG system.

Utilize open-source tools to implement the project-based course and enhance your understanding of generative AI.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Duke University

Duration: 2 hours

Schedule: Project- based

Reviews for Retrieval Augmented Generation (RAG) - Intro

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Mastering Gen AI: Advanced Fine-Tuning for LLMs

AI and ML Essentials with Python Specialization

Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

An Intuitive Intro to Probability

Alternative Tools for Retrieval Augmented Generation (RAG) - Intro

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Gen AI Assisting Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

Gen AI Guiding Product Managers

Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.

#Artificial Intelligence (AI) #ChatGPT

Gen AI Supporting Data Engineers

Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

#Convolutional Neural Network #Information Engineering

Intro to Gen AI Learning Path

This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.

#Generative AI #Large Language Models

Gen AI Assistants

Generative AI for Your Benefit. Utilize Generative AI to develop and instruct personalized assistants.

#Generative AI #Problem Formulation

GenAI An Introductory Course

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

ML on Google Cloud

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning

Gen AI in Code Generation for Python

Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.

#Prompt Engineering #Python Programming Language

Gen AI in Marketing Specialization

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

#Generative AI #Large Language Models