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GENERATIVE AI

Exploring the Present and Future Significance of Generative AI

@Rangsit University International College

2026

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CONTENT

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DEFINE GENERATIVE AI (GEN AI)

LET'S TRY TO BUILD A LARGE LANGUAGE MODEL

WHY NOW?

WHY IS GEN AI IMPORTANT NOW?

IMPACT OF GEN AI-BASED APPLICATION ON INDUSTRIES

WHAT IS COMING!

Q&A

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AI

AI

ML

DEEP LEARNING

ML

ARTIFICIAL INTELLIGENCE

MACHINE LEARNING

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AI

    • AI is a discipline (like Math, Biology)

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    • AI is a subfield of computer science

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    • AI is the simulation of human intelligence processes by machines, especially computer systems

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AI

ML

DEEP LEARNING

ML

ARTIFICIAL INTELLIGENCE

MACHINE LEARNING

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AI

    • ML is a subfield of AI

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    • ML focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy

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AI

ML

DEEP LEARNING

ML

ARTIFICIAL INTELLIGENCE

MACHINE LEARNING

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SUPERVISED LEARNING

UNSUPERVISED LEARNING

    • The key difference between the two is that, with supervised models, we have labels.

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AI

ML

DEEP LEARNING

ML

MACHINE LEARNING

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SUPERVISED LEARNING

AI

ML

DEEP LEARNING

ML

the model learns from past examples to predict future values

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UNSUPERVISED LEARNING

AI

ML

DEEP LEARNING

ML

Unsupervised problems are all about discovery, about looking at the raw data and seeing if it naturally falls into groups

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AI

ML

DEEP LEARNING

ML

A Modified Great Deluge Algorithm with Dual Decay Rate for School

Timetabling

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AI

ML

DEEP LEARNING

    • DL fits as a subset of machine learning methods.

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    • DL uses artificial neural networks, allowing them to process more complex patterns than ML

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    • Artificial neural networks are inspired by the human brain

DEEP LEARNING

DL

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AI

ML

DEEP LEARNING

    • DL models typically have many layers of neurons, which allows them to learn more complex patterns than traditional ML models.

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    • Neural networks can use both labeled and unlabeled data (semi-supervised learning)

DEEP LEARNING

DL

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AI

ML

DEEP LEARNING

    • In semi-supervised learning, a neural network is trained on a small amount of labeled data and a large amount of unlabeled data

DEEP LEARNING

DL

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AI

ML

DEEP LEARNING

DEEP LEARNING

DL

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AI

ML

DL

Gen AI is a subset of deep learning, which means it uses artificial neural networks, can process both

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    • labeled and unlabeled data
    • using supervised, unsupervised, and semi-supervised methods.

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GEN AI

GENERATIVE AI

GEN AI

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AI

ML

DL

Gen AI is a subset of deep learning, which means it uses artificial neural networks, can process both

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    • labeled and unlabeled data
    • using supervised, unsupervised, and semi-supervised methods.

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GEN AI

DISCRIMINATIVE MODELS

GENERATIVE MODEL

DEEP LEARNING

DL

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DISCRIMINATIVE MODELS

AI

ML

DL

    • Discriminative models learn the relationship between the features of the data points and the labels.

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    • Once a discriminative model is trained, it can be used to predict the label for new data points

GEN AI

DEEP LEARNING

DL

By @131217net

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GENERATIVE MODELS

AI

ML

DL

    • Generative models generate new content.

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generative models can generate new data instances while discriminative models discriminate between different kinds of data instances.

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GEN AI

DEEP LEARNING

DL

By @131217net

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AI

ML

DL

GEN AI

By @Google Cloud Tech

GENERATIVE AI

GEN AI

output, y, or label

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AI

ML

DL

GEN AI

By @Google Cloud Tech

GENERATIVE AI

GEN AI

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AI

ML

DL

GEN AI

GENERATIVE AI

GEN AI

Gen AI is a type of artificial intelligence that creates new content based on what it has learned from existing content.

What is generative AI?

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AI

ML

DL

GEN AI

GENERATIVE AI

GEN AI

By @Google Cloud Tech

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AI

ML

DL

GEN AI

GENERATIVE AI

GEN AI

By @Google Cloud Tech

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AI

ML

DL

GEN AI

GENERATIVE AI

GEN AI

By @ByteByteGo

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

let's try to build a language model

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

    • as a time series

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

    • as a time series
    • word was appears three times

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

    • as a time series
    • word was appears three times
    • this turns our series into a graph

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

    • as a time series
    • word was appears three times
    • this turns our series into a graph

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

    • as a time series
    • word was appears three times
    • this turns our series into a graph
    • add probability to these edges it becomes a language model

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

you can use it to generate text

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    • the sun was still red
    • her hair was shining

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

you can use it to generate text

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    • the sun was still red
    • her hair was shining

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

you can use it to generate text

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    • the sun was still red
    • her hair was shining

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

the probability of the current word

conditioned on the previous word

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

there's no way we can model this exactly

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

Universal approximator

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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AI

ML

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

ML

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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AI

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

how's the network going to know about presidents?

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GEN AI

AI

ML

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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AI

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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AI

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LARGE LANGUAGE MODELS

LLM

LLM

By @Graphics in 5 Minutes

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GEN AI

AI

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LARGE LANGUAGE MODELS

LLM

LLM

By @ByteByteGo

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

Okay, we're set to train our network.

What amount of text will we require for the training?

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

basically all of it

Okay, we're set to train our network.

What amount of text will we require for the training?

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

Modern language models (like, GPT) have processed much of the internet and public books, totaling up to half a trillion words. It's likely you'd assume that training these massive models takes a considerable amount of time

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

training gpt3 would take 355 years

Modern language models (like, GPT3) have processed much of the internet and public books, totaling up to half a trillion words. It's likely you'd assume that training these massive models takes a considerable amount of time

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

    • Computational power that reduces 355 years to just one month
    • Large datasets
    • Innovation deep learning models

Why now?

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AI

ML

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LARGE LANGUAGE MODELS

LLM

LLM

    • Models of generative AI are now powerful and realistic to an extremely important level.

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    • Obtaining power allows for applications that weren't feasible just one year ago.

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    • Cost-effective even for business users who are not adept at technology.

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    • A large number of open-source and adaptable models.

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    • The requirement for powerful GPUs, which are now available through the cloud.

Why is it important now?

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GEN AI

AI

ML

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LARGE LANGUAGE MODELS

LLM

LLM

Chronological display of LLM releases

By Naveed et al., 2023

closed-source

open-source

increasing trend towards instruction-tuned models and open-source models

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

By @sbdautomotive 2023

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GEN AI

AI

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LARGE LANGUAGE MODELS

LLM

LLM

Future Developments in AI

By @sbdautomotive 2023

Having an impact on business activities across several industries

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GEN AI

AI

ML

DL

LARGE LANGUAGE MODELS

LLM

LLM

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GEN AI

AI

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LARGE LANGUAGE MODELS

LLM

LLM

Consider developing your own advanced LLM application!

CLOSED-SOURCE

OPEN-SOURCE

    • Use as off-the-shelf or fine-tune

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    • Provides flexibility for customizations

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    • Can be smaller in size to save cost

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    • Commercial / Non-commercial use
    • Usually offered as LLMs-as-a-service

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    • Some can be fine-tuned

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    • Restrictive licenses for usage and modification

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GEN AI

AI

ML

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LARGE LANGUAGE MODELS

LLM

LLM

Consider developing your own advanced LLM application!

Example of off-the-shelf or fine-tune:

Exmple of LLMs-as-a-service

transforming a general-purpose base model (e.g. GPT-3) into a specialized model for a particular use case (e.g. ChatGPT)

using a private Large Language Model (LLM) as a Service, where it is expected that no examples have already been generated.

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GEN AI

AI

ML

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LARGE LANGUAGE MODELS

LLM

LLM

Using Closed Source Models (LLMs-as-a-Service)

Advantages:

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Rapid Development:

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    • Immediate implementation and use
    • API call

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High-quality:

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    • cutting-edge results

Disadvantages:

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Cost:

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    • Pay for each sent or received token.

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Data security and privacy:

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    • It's possible that you may not understand how your data is utilized.

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GEN AI

AI

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LARGE LANGUAGE MODELS

LLM

LLM

Using Open Source Models (off-the-shelf or fine-tune)

Advantages:

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Choose and/or modify a model that is task-specific for your use case.

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Analysis Costs:

    • Customized models are frequently smaller, leading to quicker analysis speeds.

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Control:

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    • The full set of data and model details stays completely within your circle of control.

Disadvantages:

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Time constraints:

    • Time is needed to choose, assess, and maybe fine-tune

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Data Requirements:

    • Greater models or fine-tuning demand greater datasets.

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Skill Sets:

    • Need personal expertise

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GEN AI

AI

ML

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LLM

Artificial Super Intelligence (ASI) is Coming!

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GEN AI

AI

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LLM

Artificial Super Intelligence (ASI) is Coming!

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GEN AI

AI

ML

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LLM

Artificial Super Intelligence (ASI) is Coming!

GenAI

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GEN AI

AI

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LLM

Artificial Super Intelligence (ASI) is Coming!

By @research.aimultiple 2023

GenAI

AGI aims to complete every cognitive job that a human can.

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GEN AI

AI

ML

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LLM

Artificial Super Intelligence (ASI) is Coming!

GenAI

Artificial super intelligence (ASI) operates beyond human-level intelligence

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“The science of today will be the technology of tomorrow.”

Edward Teller

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