Presentations – knowledgebase.flivo.ai

LLM'S PPT

AI models trained on vast amounts of text data to understand and generate human-like language.Transformative impact on natural language processing (NLP) and various applications.

LLMS 1

LLMS 2

LLMS 3

LLMS 4

LLMS 5

LLMS 6

LLMS 7

LLMS 8

LLMS 9

LLMS 10

LLMS 11

PE

By analyzing patterns and trends, PE helps anticipate potential issues and optimize designs

Promt-Engineering 1

Promt-Engineering 2

Promt-Engineering 3

Promt-Engineering 4

Promt-Engineering 5

Promt-Engineering 6

Promt-Engineering 7

Promt-Engineering 8

Promt-Engineering 9

Promt-Engineering 10

Promt-Engineering 11

Machine Learning

The process involves feeding data into a model, which then adjusts its parameters to minimize errors and improve its performance over time.

Introduction

1.1 Types Supervised

1.2 Types Supervised

1.3 Types Supervised

Data Processing

Linear Regression

3.1 Linear Regression

4 Classification

4.1 Naïve bayes classification

4.2 Decision Tree Classifier

4.2.1 Decision Tree Classifier

5 ANN

5.1 Architecture

5.2 Activation Functions

5.3 Perceptron Rule

5.3.1 perceptron rule-AND gate example

6 unsupervised-clustering-kmeans

6.1 kmeans example

6.2 agglomerative clustering

6.3 agglomerative clustering - example