Канал: AIBrilliance

Mastering Prompts in Engineering: The Ultimate Guide | Prompt Engineering Part 5

Mastering Prompts in Engineering: The Ultimate Guide | Prompt Engineering Part 5

Unlocking the Secret Behind Prompt Engineering Part 4

Unlocking the Secret Behind Prompt Engineering Part 4

Prompt Engineering Part 3

Prompt Engineering Part 3

Part 6 : PCA - Iris Dataset Part 2

Part 6 : PCA - Iris Dataset Part 2

Not So Good and Better Prompt | Prompt Engineering Part 2

Not So Good and Better Prompt | Prompt Engineering Part 2

Part 5 : PCA - Iris Dataset Part 1

Part 5 : PCA - Iris Dataset Part 1

Introduction to Prompt Engineering | Prompt Engineering Part 1 | ChatGPT Lecture 3

Introduction to Prompt Engineering | Prompt Engineering Part 1 | ChatGPT Lecture 3

Part 4 : PCA : Complex Dataset

Part 4 : PCA : Complex Dataset

Part 3 : PCA of a Simple Matrix

Part 3 : PCA of a Simple Matrix

Part 2 : SVD: Image Compression

Part 2 : SVD: Image Compression

Part 1 : Introduction and SVD of a Simple Matrix

Part 1 : Introduction and SVD of a Simple Matrix

Part 8 : Eigen Value Part III

Part 8 : Eigen Value Part III

Part 7 : Eigen Value Part II

Part 7 : Eigen Value Part II

ChatGPT for Complex Planning Problems

ChatGPT for Complex Planning Problems

Part 6 : Eigen Value Part 1 : Map Coloring Problem

Part 6 : Eigen Value Part 1 : Map Coloring Problem

Solving Math Problem Using ChatGPT

Solving Math Problem Using ChatGPT

Part 5 : Vector Norms

Part 5 : Vector Norms

Coding Through ChatGPT : Code Optimization and Complex Functional Code

Coding Through ChatGPT : Code Optimization and Complex Functional Code

Part 4 : Orthogonal and Sparse Matrix

Part 4 : Orthogonal and Sparse Matrix

Coding through Chat GPT : Generating Code and De Bugging

Coding through Chat GPT : Generating Code and De Bugging

Part 3 : Vector Dot and Cross Product and Solving System of Linear Equations

Part 3 : Vector Dot and Cross Product and Solving System of Linear Equations

Language Translation Part 3

Language Translation Part 3

Constrained Optimization SQP key concepts

Constrained Optimization SQP key concepts

Part 2 : Rank, Matrix Addition , Transpose and Trace

Part 2 : Rank, Matrix Addition , Transpose and Trace

Language Translation Part 2

Language Translation Part 2

Sequential Quadratic Problem Example problem

Sequential Quadratic Problem Example problem

Part 1 : Introduction , Determinant , Matrix Multiplication and Inversion

Part 1 : Introduction , Determinant , Matrix Multiplication and Inversion

Introduction and Language Translation

Introduction and Language Translation

Part 3 Augmented Lagrangian Including Inequality Constraints

Part 3 Augmented Lagrangian Including Inequality Constraints

Part 9 : PCA Through SVD

Part 9 : PCA Through SVD

Part 2 Augmented Lagrangian Inequality Constraints Example

Part 2 Augmented Lagrangian Inequality Constraints Example

Part 8 : PCA Example

Part 8 : PCA Example

Part 1 Constrained Optimization Augmented Lagrangian concepts

Part 1 Constrained Optimization Augmented Lagrangian concepts

Part 7 : Principal Component Analysis (PCA)

Part 7 : Principal Component Analysis (PCA)

Part 5 Newton's Method Example Problem

Part 5 Newton's Method Example Problem

Part 6 : PCA Geometric Intution

Part 6 : PCA Geometric Intution

Part 4 Newton's Method

Part 4 Newton's Method

Part 5 : SVD : Matrix Approximation

Part 5 : SVD : Matrix Approximation

ChatGPT Demystified: A Beginner's Crash Course in Conversational AI( Full Video)

ChatGPT Demystified: A Beginner's Crash Course in Conversational AI( Full Video)

Part 3 Steepest Descent Method Example Problem

Part 3 Steepest Descent Method Example Problem

Part 4 : SVD : Dimensionality Reduction and Properties

Part 4 : SVD : Dimensionality Reduction and Properties

Next Module and Assignments

Next Module and Assignments

Part 3 : SVD Example Problem

Part 3 : SVD Example Problem

Grammatical Corrections and Writing in Certain Tone

Grammatical Corrections and Writing in Certain Tone

Part 1 Multiple Variable Key Concepts

Part 1 Multiple Variable Key Concepts

Part 2 : Singular Value Decomposition (SVD)

Part 2 : Singular Value Decomposition (SVD)

Ads Copyrighting, Planning and Activities with ChatGPT

Ads Copyrighting, Planning and Activities with ChatGPT

Part 3, Newton Raphson Method Example Problem

Part 3, Newton Raphson Method Example Problem

Part 1 : SVD , PCA and Dimensionality Reduction Introduction

Part 1 : SVD , PCA and Dimensionality Reduction Introduction

ChatGPT for Article Summarization and Email Response

ChatGPT for Article Summarization and Email Response

Part 2 Newton Raphson Method Introduction

Part 2 Newton Raphson Method Introduction

Part 5 Sparse matrices & Vector norms

Part 5 Sparse matrices & Vector norms

Completing Sentences using ChatGPT

Completing Sentences using ChatGPT

Unconstrained Optimisation: Single Variable, Part 1 Newton Raphson Method Introduction

Unconstrained Optimisation: Single Variable, Part 1 Newton Raphson Method Introduction

Part 4 Orthogonal matrix

Part 4 Orthogonal matrix

ChatGPT: Generating natural Language Text II

ChatGPT: Generating natural Language Text II

Part 5 - Example Problem Solution Tabular Form

Part 5 - Example Problem Solution Tabular Form

part 3 cramer's rule geometric intuition part 2

part 3 cramer's rule geometric intuition part 2

ChatGPT basics and Main Tasks You Can Do With It

ChatGPT basics and Main Tasks You Can Do With It

Main Task You Can Do With ChatGPT

Main Task You Can Do With ChatGPT

Part 4 - Example Single Variable Optimization Problem

Part 4 - Example Single Variable Optimization Problem

part 2 Cramer's rule geometric intuition part 1

part 2 Cramer's rule geometric intuition part 1

LLMs ChatGPT, Bing, and Bard AI

LLMs ChatGPT, Bing, and Bard AI

Part 3 - Golden Section Algorithm

Part 3 - Golden Section Algorithm

AIBrilliance Live Stream

AIBrilliance Live Stream

Part 1 system of equation cramer's rule

Part 1 system of equation cramer's rule

How Does LLMs or ChatGPT Work ?

How Does LLMs or ChatGPT Work ?

Part 2 - Conceptual Idea Behind Algorithm

Part 2 - Conceptual Idea Behind Algorithm

Eigenvectors & Eigenvalues: Numerical example & Related concepts

Eigenvectors & Eigenvalues: Numerical example & Related concepts

What is Large Language Models (LLM)

What is Large Language Models (LLM)

Unconstrained Optimisation Problem: Single Variable, Part 1 Golden Ratio & Related Concept

Unconstrained Optimisation Problem: Single Variable, Part 1 Golden Ratio & Related Concept

How Data Science, Machine Learning and AI are bring used in Cricket World Cup?

How Data Science, Machine Learning and AI are bring used in Cricket World Cup?

Eigenvectors & Eigenvalues: Numerical computation

Eigenvectors & Eigenvalues: Numerical computation

ChatGPT Course Scope and Topics Covered

ChatGPT Course Scope and Topics Covered

Eigenvectors & Eigenvalues: Geometric Intuition

Eigenvectors & Eigenvalues: Geometric Intuition

Introduction to ChatGPT Demystified

Introduction to ChatGPT Demystified

Special Cases

Special Cases

Rank of a Matrix

Rank of a Matrix

Bounding Algorithm Part 2 Swanns Interval Bounding Method

Bounding Algorithm Part 2 Swanns Interval Bounding Method

System of equation examples

System of equation examples

Matrix Inversion

Matrix Inversion

Introduction And Two Phase Approach

Introduction And Two Phase Approach

Linear system of equations

Linear system of equations

Classification Of Optimization Problem Part 2

Classification Of Optimization Problem Part 2

Matrix operations

Matrix operations

Classification Of Optimization Problem Part 1

Classification Of Optimization Problem Part 1

Introduction & Vector operations

Introduction & Vector operations

Definitions And Notations Part 2

Definitions And Notations Part 2

Matrix: Matrix Multiplication

Matrix: Matrix Multiplication

Determinant

Determinant

Nonlinear Optimization Graphical Approach - II

Nonlinear Optimization Graphical Approach - II

Linear Transformation

Linear Transformation

Rahul Rai Talk video

Rahul Rai Talk video

Nonlinear Optimization Graphical Approach - I

Nonlinear Optimization Graphical Approach - I

Introduction & Concepts of function

Introduction & Concepts of function

Physics Guide Machine Learning: Dr Zhen Li Clemson University

Physics Guide Machine Learning: Dr Zhen Li Clemson University

Optimization Problem Types part 2

Optimization Problem Types part 2

Matrices and Tensors

Matrices and Tensors

Learning with and From Surrogate Models: Dr Cameron Turner Clemson University

Learning with and From Surrogate Models: Dr Cameron Turner Clemson University

Optimization Problem Types part 1

Optimization Problem Types part 1

Vector Operations

Vector Operations

Future Human Machine Interfaces for Autonomous Vehicles: Dr Jerome McClendon Clemson University

Future Human Machine Interfaces for Autonomous Vehicles: Dr Jerome McClendon Clemson University

Influence Of Inequality And Equality Constraints

Influence Of Inequality And Equality Constraints

Vectors Numerical & mathematical perspective

Vectors Numerical & mathematical perspective

Spatial Artificial Intelligence (AI) for Autonomous Perception and Mapping: Dr. Bing Li Clemson

Spatial Artificial Intelligence (AI) for Autonomous Perception and Mapping: Dr. Bing Li Clemson

Identification Of Optimal Solution

Identification Of Optimal Solution

Vectors Geometric Perspective

Vectors Geometric Perspective

Dr. Venkat Krovi's AI in Automotive Engineering talk

Dr. Venkat Krovi's AI in Automotive Engineering talk

Plotting of Objective Function

Plotting of Objective Function

Vectors & Matrices introduction

Vectors & Matrices introduction

Automotive AI Summit, Clemson University Introduction Video

Automotive AI Summit, Clemson University Introduction Video

Broadcasting and Pandas

Broadcasting and Pandas

Plots

Plots

Numpy

Numpy

AI Brilliance Channel Introduction | Empower your Learning ! | AI, Machine Learning and Data Science

AI Brilliance Channel Introduction | Empower your Learning ! | AI, Machine Learning and Data Science

Python basics: Functions, Classes & Objects

Python basics: Functions, Classes & Objects

𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐈𝐎𝐓𝐬 𝐌𝐢𝐜𝐫𝐨𝐥𝐞𝐬𝐬𝐨𝐧𝐬-𝐕

𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐈𝐎𝐓𝐬 𝐌𝐢𝐜𝐫𝐨𝐥𝐞𝐬𝐬𝐨𝐧𝐬-𝐕

Python basics: Loops

Python basics: Loops

Machine Learning in Manufacturing Microlessons-IV

Machine Learning in Manufacturing Microlessons-IV

Python basics: Operators

Python basics: Operators

𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐈𝐎𝐓𝐬 𝐌𝐢𝐜𝐫𝐨𝐥𝐞𝐬𝐬𝐨𝐧𝐬-𝐈𝐈𝐈

𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐈𝐎𝐓𝐬 𝐌𝐢𝐜𝐫𝐨𝐥𝐞𝐬𝐬𝐨𝐧𝐬-𝐈𝐈𝐈

Python basics: Lists & Dictionaries

Python basics: Lists & Dictionaries

Machine Learning Manufacturing Microlesson 2

Machine Learning Manufacturing Microlesson 2

Introduction: Python feature, Variable types, Strings

Introduction: Python feature, Variable types, Strings

Introduction to Optimization Problem

Introduction to Optimization Problem

Machine Learning in Manufacturing and Industry 4.0 Applications: Introduction

Machine Learning in Manufacturing and Industry 4.0 Applications: Introduction

Logistics and Supply Chain Management: Data Science and Machine Learning Lecture 1 Part 1

Logistics and Supply Chain Management: Data Science and Machine Learning Lecture 1 Part 1

Indian University West Tour 22: Talks in AI and Machine Learning at 16 Different Indian Institutions

Indian University West Tour 22: Talks in AI and Machine Learning at 16 Different Indian Institutions

The evolution of data science, machine learning & AI in the next decade

The evolution of data science, machine learning & AI in the next decade

How voice assistants like Siri and Alexa work? Automatic Speech Recognition through RNN

How voice assistants like Siri and Alexa work? Automatic Speech Recognition through RNN

How are AI and machine learning transforming banking and financial services?

How are AI and machine learning transforming banking and financial services?

Machine Learning Powered Handwritten Text Recognition (An Overview)

Machine Learning Powered Handwritten Text Recognition (An Overview)

The number one voice assistant Alexa! How does it work? Machine Learning algorithm behind it.

The number one voice assistant Alexa! How does it work? Machine Learning algorithm behind it.

DNN use cases Facebook deep face

DNN use cases Facebook deep face

Popular programming framework for DNNs

Popular programming framework for DNNs

Artificial Neural Networks (ANNs) components & computations Part 2

Artificial Neural Networks (ANNs) components & computations Part 2

Artificial neural networks (ANNs) main steps and computational blocks.

Artificial neural networks (ANNs) main steps and computational blocks.

Mathematical model of a neuron. Weights parameters and activation functions in a neuron.

Mathematical model of a neuron. Weights parameters and activation functions in a neuron.

Why deep layers ?

Why deep layers ?

Shallow vs Deep neural networks, shallow neural network, shallow network in deep learning

Shallow vs Deep neural networks, shallow neural network, shallow network in deep learning

What is Neural Network: Stacking of neurons and creating a network.

What is Neural Network: Stacking of neurons and creating a network.

Recurrent Neural Networks (RNNs) Use cases sentiment analyisis language translator and Chabots

Recurrent Neural Networks (RNNs) Use cases sentiment analyisis language translator and Chabots

Recurrent Neural Networks (RNNs) use cases house price prediction and traffic congestion

Recurrent Neural Networks (RNNs) use cases house price prediction and traffic congestion

Recurrent Neural Networks (RNNs) use cases flight price forecasting

Recurrent Neural Networks (RNNs) use cases flight price forecasting

Recurrent Neural Networks (RNNs) Architecture computation pipeline introduction

Recurrent Neural Networks (RNNs) Architecture computation pipeline introduction

Comparison between Deep Neural Networks (DNN) & Recurrent Neural Networks (RNNs) for NLP task

Comparison between Deep Neural Networks (DNN) & Recurrent Neural Networks (RNNs) for NLP task

Recurrent Neural Networks (RNNs) Architecture different application input output representation

Recurrent Neural Networks (RNNs) Architecture different application input output representation

Why recurrent neural network? Sample applications.

Why recurrent neural network? Sample applications.

Attributes of a good data scientist and the skills recomended for a student in this space

Attributes of a good data scientist and the skills recomended for a student in this space

Artificial intelligence, Machine Learning & Deep learning classification

Artificial intelligence, Machine Learning & Deep learning classification

What skills are essential for students entering the field of data science, machine learning, and AI.

What skills are essential for students entering the field of data science, machine learning, and AI.

Personal journey in the field of Data science, Machine Learning, & AI

Personal journey in the field of Data science, Machine Learning, & AI

CNN biomedical usecase intracranial aneurysm vascular segmentation

CNN biomedical usecase intracranial aneurysm vascular segmentation

What are the attributes of a good data scientist ?

What are the attributes of a good data scientist ?

CNN Medical domain image representation & Deep medic

CNN Medical domain image representation & Deep medic

What skills do you need to have to become a good data scientist, machine learning, and AI engineer?

What skills do you need to have to become a good data scientist, machine learning, and AI engineer?

Convolutional Neural Networks (CNNs): Convolution Layer Intuition

Convolutional Neural Networks (CNNs): Convolution Layer Intuition

What are the attributes of a good data scientist ?

What are the attributes of a good data scientist ?

CNNs application artwork, facial and cloth recognition

CNNs application artwork, facial and cloth recognition

How do you trust the machine learning algorithm?

How do you trust the machine learning algorithm?

CNNs application biomedical domain

CNNs application biomedical domain

What is predictive maintenance ?

What is predictive maintenance ?

CNNs application manufacturing domain

CNNs application manufacturing domain

The skill set required for a person to come into the field of data science & analytics

The skill set required for a person to come into the field of data science & analytics

CNNs computational pipeline max pooling & fully connected layer

CNNs computational pipeline max pooling & fully connected layer

The evolution of Data Science and Machine Learning in the next decade

The evolution of Data Science and Machine Learning in the next decade

CNNs Computational pipeline convolutions 2

CNNs Computational pipeline convolutions 2

What are the attributes of a good data scientist ?

What are the attributes of a good data scientist ?

CNNs computational pipeline convolutions 1

CNNs computational pipeline convolutions 1

Personal journey in this field of Data science & machine learning

Personal journey in this field of Data science & machine learning

Convolutional neural network basic intuition

Convolutional neural network basic intuition

Part 2 Steepest Descent method 2

Part 2 Steepest Descent method 2

Fibonacci Sequence Based Interval Bounding

Fibonacci Sequence Based Interval Bounding

Bounding Algorithm Part 1 Different Cases

Bounding Algorithm Part 1 Different Cases

Definitions And Notations Part 1

Definitions And Notations Part 1

Plotting The Constraint Function Part 2

Plotting The Constraint Function Part 2

Plotting The Constraint Function Part 1

Plotting The Constraint Function Part 1

Analytical Solution Of Optimization Problem

Analytical Solution Of Optimization Problem

Drawer Design Problem Formulation

Drawer Design Problem Formulation

Feasibility Active And Inactive Constraints In Optimization Problem

Feasibility Active And Inactive Constraints In Optimization Problem

Graphical Solution of Optimization Problem

Graphical Solution of Optimization Problem

Standard Form Negative Null Form

Standard Form Negative Null Form

Optimization Problem Formulation

Optimization Problem Formulation

Webinar 10: CyberPhysical Systems - I Data Science, Machine Learning and AI webinar series

Webinar 10: CyberPhysical Systems - I Data Science, Machine Learning and AI webinar series

Webinar 9: Computational Material Science: Data Science, Machine Learning and AI webinar series

Webinar 9: Computational Material Science: Data Science, Machine Learning and AI webinar series

Webinar 8: Supply Chain Management: Data Science, Machine Learning and AI webinar series

Webinar 8: Supply Chain Management: Data Science, Machine Learning and AI webinar series

Webinar 7: Engineering Design: Data Science, Machine Learning and AI

Webinar 7: Engineering Design: Data Science, Machine Learning and AI

Data Science, Machine Learning and AI: Applications Webinar 6: Physics Guided Machine Learning

Data Science, Machine Learning and AI: Applications Webinar 6: Physics Guided Machine Learning

Data Science, Machine Learning and AI: Applications Webinar 5: Industry - II

Data Science, Machine Learning and AI: Applications Webinar 5: Industry - II

Data Science, Machine Learning and AI: Applications Webinar 4: Industrial Applications - I

Data Science, Machine Learning and AI: Applications Webinar 4: Industrial Applications - I

Data Science, Machine Learning and AI: Applications Webinar 3: Manufacturing Analytics - II

Data Science, Machine Learning and AI: Applications Webinar 3: Manufacturing Analytics - II

Data Science, Machine Learning and AI: Applications Webinar 2: Manufacturing Analytics

Data Science, Machine Learning and AI: Applications Webinar 2: Manufacturing Analytics

Data Science, Machine Learning, and AI: Applications and Opportunities Webinar 1: MEDLEY

Data Science, Machine Learning, and AI: Applications and Opportunities Webinar 1: MEDLEY