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    17.1 -Introduction to Prompt Serialization Styles
    2:00

    17.1 -Introduction to Prompt Serialization Styles

     17  views
    16.6 -Chain-of-Thought (CoT) for Reasoning
    12:49

    16.6 -Chain-of-Thought (CoT) for Reasoning

     12  views
    17.2 -Alpaca Prompt Template for Instruction Tuning
    2:49

    17.2 -Alpaca Prompt Template for Instruction Tuning

     10  views
    17.3 -ChatML Schema OpenAI’s Structured Prompt Format
    1:30

    17.3 -ChatML Schema OpenAI’s Structured Prompt Format

     9  views
    16.7 -Auto-CoT Automated Reasoning Prompt Generation
    8:47

    16.7 -Auto-CoT Automated Reasoning Prompt Generation

     13  views
    16.8 -Persona-Based Prompting
    5:22

    16.8 -Persona-Based Prompting

     10  views
    16.2 -Prompting Types Zero-Shot, Few-Shot, One-Shot
    3:53

    16.2 -Prompting Types Zero-Shot, Few-Shot, One-Shot

     9  views
    16.4 -Few-Shot Prompting for Contextual Generalization
    3:31

    16.4 -Few-Shot Prompting for Contextual Generalization

     12  views
    16.5 -Structured Outputs with Few-Shot Prompting
    3:13

    16.5 -Structured Outputs with Few-Shot Prompting

     11  views
    16.3 -One-Shot Prompting for Deterministic Inference
    3:23

    16.3 -One-Shot Prompting for Deterministic Inference

     15  views
    16.1 -Prompt Fundamentals Encoding Instructions for LLMs
    0:56

    16.1 -Prompt Fundamentals Encoding Instructions for LLMs

     12  views
    14.2 Deep Dive into the GPT Architecture
    9:07

    14.2 Deep Dive into the GPT Architecture

     2  views
    14.7 Deep Diving into Vector Embeddings
    9:09

    14.7 Deep Diving into Vector Embeddings

     3  views
    14.4 Fundamentals of Tokenization in NLP
    8:05

    14.4 Fundamentals of Tokenization in NLP

     2  views
    14.6 The Transformer Breakthrough Google’s Paper on Attention
    6:42

    14.6 The Transformer Breakthrough Google’s Paper on Attention

     6  views
    14.9 -Understanding Multi-Head Attention for Rich Context
    5:19

    14.9 -Understanding Multi-Head Attention for Rich Context

     8  views
    14.3 -How LLMS Work under the Hood
    7:16

    14.3 -How LLMS Work under the Hood

     6  views
    14.8 Role of Positional Encodings in Transformers
    3:20

    14.8 Role of Positional Encodings in Transformers

     4  views
    14.5 Implementing a Custom Tokenizer in Python
    4:15

    14.5 Implementing a Custom Tokenizer in Python

     4  views
    14.1 Understanding Large Language Models (LLMs)
    5:55

    14.1 Understanding Large Language Models (LLMs)

     2  views
    15.2 -Invoking OpenAI APIs with Python
    4:53

    15.2 -Invoking OpenAI APIs with Python

     5  views
    15.4 -Using Google Gemini with OpenAI-Compatible APIs
    3:15

    15.4 -Using Google Gemini with OpenAI-Compatible APIs

     4  views
    15.3 -Creating and Setting Up Google Gemini Account
    2:21

    15.3 -Creating and Setting Up Google Gemini Account

     4  views
    15.1 -Configuring Your OpenAI Account
    2:43

    15.1 -Configuring Your OpenAI Account

     2  views
    1.5 Agentic Design Agentic AI
    3:38

    1.5 Agentic Design Agentic AI

     9  views
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