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All Lessons

Introduction to Large Language Models

What are Large Language Models?

What are Large Language Models?

3:32

Free

Evolution of Language Models

Evolution of Language Models

3:45

Free

Applications of Large Language Models (LLMs)

Applications of Large Language Models (LLMs)

7:29

Free

Understanding LLMs

What is a Prompt? What is Prompt Engineering?

5:02

Free

Architecture of Large Language Models (LLMs)

4:12

Free

What are Tokens?

6:26

Free

Adjusting LLM Parameters

4:53

Free

Temperature

5:46

Free

Top-p

4:49

Free

Max Tokens

6:08

Free

Top-k and Other Parameters

4:18

Free

Quiz 1

10:00

Free

Prompt Engineering

Iterative Process of Prompt Development

Iterative Process of Prompt Development

6:51

Free

Prompt Structure and Roles

Prompt Structure and Roles

3:46

Free

Strategies for Effective Prompt Engineering

Strategies for Effective Prompt Engineering

7:12

Free

Quiz 2

Quiz 2

10:00

Free

Advanced Customization Techniques

Advanced Prompt Development Strategies

Advanced Prompt Development Strategies

5:12

Free

Fine-Tuning LLMs

Fine-Tuning LLMs

6:53

Free

Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG)

4:16

Free

Ethical Considerations

Ethical Challenges and Biases

Ethical Challenges and Biases

4:10

Free

Responsible Use of LLMs

Responsible Use of LLMs

4:05

Free

Benchmarking LLMs

Choose a model that's right for you

Choose a model that's right for you

2:19

Free

Prompt Engineering Platforms

Prompt Engineering Platforms

3:15

Free

What are Large Language Models?

3:32

Free

Understand the fundamental concept of LLMs, their architecture, and their capabilities.

What are Large Language Models?

3:32

Free

Understand the fundamental concept of LLMs, their architecture, and their capabilities.

Evolution of Language Models

3:45

Free

Explore the historical development of language models, highlighting key milestones that shaped modern Large Language Models (LLMs).

Evolution of Language Models

3:45

Free

Explore the historical development of language models, highlighting key milestones that shaped modern Large Language Models (LLMs).

Applications of Large Language Models (LLMs)

7:29

Free

Understand the diverse applications of LLMs across industries and their transformative impact on businesses and society.

Applications of Large Language Models (LLMs)

7:29

Free

Understand the diverse applications of LLMs across industries and their transformative impact on businesses and society.

What is a Prompt? What is Prompt Engineering?

5:02

Free

Prompt engineering is the process where you guide generative artificial intelligence (generative AI) solutions to generate desired outputs.

What is a Prompt? What is Prompt Engineering?

5:02

Free

Prompt engineering is the process where you guide generative artificial intelligence (generative AI) solutions to generate desired outputs.

Architecture of Large Language Models (LLMs)

4:12

Free

Understanding the architecture of these models is key to understanding how they work and generate their outputs.

Architecture of Large Language Models (LLMs)

4:12

Free

Understanding the architecture of these models is key to understanding how they work and generate their outputs.

What are Tokens?

6:26

Free

For language models, the smallest unit they use to process text is called a token.

What are Tokens?

6:26

Free

For language models, the smallest unit they use to process text is called a token.

Adjusting LLM Parameters

4:53

Free

To unlock the full potential of LLMs, we need to understand the parameters that allow us to customize and fine-tune the output.

Adjusting LLM Parameters

4:53

Free

To unlock the full potential of LLMs, we need to understand the parameters that allow us to customize and fine-tune the output.

Temperature

5:46

Free

In the context of language models, temperature is a parameter that controls the degree of randomness in text generation.

Temperature

5:46

Free

In the context of language models, temperature is a parameter that controls the degree of randomness in text generation.

Top-p

4:49

Free

Top-p is a parameter that shapes the diversity and quality of the text produced by a generative AI model.

Top-p

4:49

Free

Top-p is a parameter that shapes the diversity and quality of the text produced by a generative AI model.

Max Tokens

6:08

Free

The token limit refers to the maximum number of tokens an AI model can process at one time.

Max Tokens

6:08

Free

The token limit refers to the maximum number of tokens an AI model can process at one time.

Top-k and Other Parameters

4:18

Free

Top-K Sampling is a technique used during text generation to filter out less probable next-word predictions.

Top-k and Other Parameters

4:18

Free

Top-K Sampling is a technique used during text generation to filter out less probable next-word predictions.

Quiz 1

10:00

Free

This quiz tests your knowledge of LLM architecture and key hyperparameters like temperature, Top-p, Top-k, max tokens, and tokens definition.

Quiz 1

10:00

Free

This quiz tests your knowledge of LLM architecture and key hyperparameters like temperature, Top-p, Top-k, max tokens, and tokens definition.

Iterative Process of Prompt Development

6:51

Free

Prompt engineering is an iterative process, meaning it requires repeated cycles of designing, testing, refining, and optimizing prompts.

Iterative Process of Prompt Development

6:51

Free

Prompt engineering is an iterative process, meaning it requires repeated cycles of designing, testing, refining, and optimizing prompts.

Prompt Structure and Roles

3:46

Free

Understanding how to structure prompts effectively is key to making the most out of these advanced models.

Prompt Structure and Roles

3:46

Free

Understanding how to structure prompts effectively is key to making the most out of these advanced models.

Strategies for Effective Prompt Engineering

7:12

Free

This course equips you with advanced strategies and best practices for crafting precise, effective prompts to maximize the accuracy, relevance, and clarity of responses from generative AI models.

Strategies for Effective Prompt Engineering

7:12

Free

This course equips you with advanced strategies and best practices for crafting precise, effective prompts to maximize the accuracy, relevance, and clarity of responses from generative AI models.

Quiz 2

10:00

Free

This quiz assesses your understanding of the key strategies and best practices for crafting effective prompts to maximize the quality and relevance of responses from generative AI models.

Quiz 2

10:00

Free

This quiz assesses your understanding of the key strategies and best practices for crafting effective prompts to maximize the quality and relevance of responses from generative AI models.

Advanced Prompt Development Strategies

5:12

Free

This course focuses on advanced strategies in prompt engineering to optimize communication with Generative AI models, breaking complex tasks into manageable subtasks for improved accuracy and efficiency.

Advanced Prompt Development Strategies

5:12

Free

This course focuses on advanced strategies in prompt engineering to optimize communication with Generative AI models, breaking complex tasks into manageable subtasks for improved accuracy and efficiency.

Fine-Tuning LLMs

6:53

Free

Fine-tuning is the process of adapting a pre-trained model to work better with your specific data, making it more effective for specialized tasks.

Fine-Tuning LLMs

6:53

Free

Fine-tuning is the process of adapting a pre-trained model to work better with your specific data, making it more effective for specialized tasks.

Retrieval-Augmented Generation (RAG)

4:16

Free

Retrieval-Augmented Generation (RAG) is an advanced technique that enhances the capabilities of a large language model (LLM) by combining it with external knowledge sources.

Retrieval-Augmented Generation (RAG)

4:16

Free

Retrieval-Augmented Generation (RAG) is an advanced technique that enhances the capabilities of a large language model (LLM) by combining it with external knowledge sources.

Ethical Challenges and Biases

4:10

Free

Explore the primary types of biases that often arise in LLMs: gender bias, cultural bias, political bias, and stereotypical bias.

Ethical Challenges and Biases

4:10

Free

Explore the primary types of biases that often arise in LLMs: gender bias, cultural bias, political bias, and stereotypical bias.

Responsible Use of LLMs

4:05

Free

Responsible AI involves addressing key ethical challenges, including transparency, bias, fairness, and privacy, to ensure that these technologies benefit society as a whole.

Responsible Use of LLMs

4:05

Free

Responsible AI involves addressing key ethical challenges, including transparency, bias, fairness, and privacy, to ensure that these technologies benefit society as a whole.

Choose a model that's right for you

2:19

Free

Explore the most powerful and widely used LLMs in the market, their unique features, applications, and how they compare with one another.

Choose a model that's right for you

2:19

Free

Explore the most powerful and widely used LLMs in the market, their unique features, applications, and how they compare with one another.

Prompt Engineering Platforms

3:15

Free

As a developer or user working with AI tools, it's essential to understand the best practices for creating effective prompts, so you can guide AI models toward generating desired outputs efficiently.

Prompt Engineering Platforms

3:15

Free

As a developer or user working with AI tools, it's essential to understand the best practices for creating effective prompts, so you can guide AI models toward generating desired outputs efficiently.

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exclusive tech insights.

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Copyright © TechTalk 2025 | Designed by [O']Media

Subscribe to our newsletter

Join our community and unlock
exclusive tech insights.

Follow Us:

Copyright © TechTalk 2025 | Designed by [O']Media