Home AI Courses Understanding LLM in Business

Understanding LLM in Business

(0 reviews)

Explore LLM potential, address limitations, devise business strategies, and stay updated on LLM trends for effective implementation in business operations.

Key AI Functions:Large Language Models,LLMs Trends

Description

Reviews

Alternative Tools

Description for Understanding LLM in Business

Assess the potential of LLMs and capitalize on their capabilities to enhance their operations.

Examine the current limitations in specific business applications and the opportunities offered by current LLMs.

Develop a roadmap for the development and implementation of new business concepts that utilize LLMs.

Examine the current trends in LLMs and strive to "cut through the noise."

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by Coursera Instructor Network

Duration: 2 hours to complete

Schedule: Flexible

Reviews for Understanding LLM in Business

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Automated Reasoning with GPT Assistant API: ReAct Agents

Applied GitHub Platform

Fundamentals of ML in Healthcare

CertNexus Certified AI Practitioner Professional Certificate

Computer Vision with Embedded Machine Learning

Alternative Tools for Understanding LLM in Business

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

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

Google AI Essentials

Generative AI facilitates daily tasks, decision-making, and idea generation, emphasizing responsible use, leveraging prompting techniques, and staying updated on AI advancements.

#Artificial Intelligence (AI) #Prompt Engineering

Retrieval Augmented Generation (RAG) - Intro

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

#Python Programming #Machine Learning

GenAI and LLMs on AWS

Learn to build machine learning solutions using Generative AI on AWS, including an understanding of AWS cloud computing and utilizing services like Amazon Bedrock.

#AWS #Cloud Computing

Generative AI and LLMs: Architecture and Data Preparation

Learn about various generative AI models and architectures, the application of LLMs in language processing, and implement NLP preprocessing techniques using libraries and PyTorch.

#Tokenization #Hugging Face

Featured Tools

Automated Reasoning with GPT Assistant API: ReAct Agents

Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.

#Artificial Intelligence (AI) #Python Programming

Applied GitHub Platform

Learn proficiency in GitHub Copilot and GitHub Codespaces to optimize development workflows, facilitate customized code generation, and enhance project management efficiency.

#codespaces #github

Fundamentals of ML in Healthcare

Gain an understanding of the fundamental methods for training machine learning models with data, investigate advanced neural network architectures, and comprehend the challenges posed by dynamic medical practice on clinical machine learning applications by learning to bridge biostatistics, machine learning, and computer programming.

#AI Healthcare #Machine Learning

CertNexus Certified AI Practitioner Professional Certificate

Become an expert in the field of artificial intelligence. Develop effective strategies for the application of Artificial Intelligence techniques to address business challenges.

#Linear Regression #Machine Learning (ML) Algorithms