Coursera – Innovating AI with Major Language Patterns 2023-11 – Download

Explanation

Inventing AI with Large Linguistics In Inventing AI with Large Linguistics (LLMs), you’ll learn the basics of how artificial intelligence works, and how to deploy it to real-world applications. By taking this course, you will learn to: – Deeply understand the creation of AI, describing the key steps of the typical AI life cycle in LLM, from data collection and model selection, performance evaluation and deployment – Explain in detail A variable architecture of LLMs capabilities, how they are trained, and how optimization allows LLMs to be adapted to different use cases – Use scaling rules to optimize the model’s objective function for data sizing, budgeting, and participation requirements Apply state-of-the-art training, optimization, concepts, tools, and deployment methods to increase the performance of models within the unique constraints of your project – Discuss the challenges and opportunities that artificial intelligence creates for businesses after hearing industry stories from researchers and Development professionals with a good basic understanding of how LLMs work, as well as the best practices behind training and deployment, will be able to make better decisions in their companies and quickly build work examples.

This course will help students build practical ideas on how to best utilize this exciting new technology. This is an intermediate course, so you should have some experience writing code in Python to benefit from it. You should also be familiar with the basics of machine learning, such as supervised and unsupervised learning, loss functions, and data segmentation for training, validation, and test preparation. If you’ve taken the Machine Learning specialization or the Deep Learning specialization at DeepLearning.AI, you’ll be ready to take this course and dive deep into the fundamentals of creative AI.

What will you learn?

Gain fundamental knowledge, practical skills, and a working understanding of how artificial intelligence works
Access the latest Gen AI research to understand how companies are creating value with cutting-edge technology.
AWS AI expert guide for professionals who are actively building and deploying AI in today’s business use cases

Who is this course for?

This course is suitable for anyone with a Python background who is ready to dive deeper into the big language models and AI-creation.

Specificatoin of Generative AI with big Language models

Publisher: Course
Teacher: Antje Barth , Chris Fragly
Language : English
Level: Medium
Number of courses: 4
Duration: Approximately 16 hours to complete

Content of AI Innovation with Major Linguistics

AI Innovation with Major Linguistics

Requirements

This is an intermediate course, so you should have some experience writing code in Python to benefit from it.

Pictures

AI Innovation with Major Linguistics

Sample Clip

Installation Guide

Extract files and watch your favorite player

Subtitle: English

Quality: 720p

Version 2023/11 compared to 2023/6: 18 text files increased. (Also, the “male 2 walk” video didn’t work which was changed in the second week of the second chapter)