Tokens, Probability, and Models | bezbos.

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Complete OpenAI Integration

Introduction

Intro (1:34)
What is OpenAI (1:45)
Course Prerequesites (0:45)
OpenAI Key Concepts Quickstart (4:25)
Running the Sample Application (5:28)
Tokens, Probability, and Models (5:59)
OpenAI Community Libraries (0:45)
My Visual Studio Code Setup (1:19)

Completions API

Completions Introduction (8:10)
Temperature and Top P (4:06)
N and Best Of (2:09)
Max Tokens and Token Consumption (2:10)
Completion Streaming (1:20)
Echo and Stop (1:46)
Logprobs and Logit Bias (5:06)
Presence and Frequency Penalty (4:00)
User Identifiers (0:47)
Suffix and Inserting (1:30)
Editing Text (1:59)
Chat Completions (4:52)
Exercises

Email Assistant Chrome Extension

Intro
Creating Project Structure (9:59)
Attaching Email Assistant to Gmail Forms (8:52)
Calling the Completion API (6:58)
Streaming Completions (6:14)
Expanding Email Assistant Pt.1 (7:34)
Expanding Email Assistant Pt.2 (7:36)
Tidying Up (2:03)
Correcting Email with Edit API (4:44)
Source Code

Images (DALL-E) API

Introduction (1:18)
Generating Images (3:23)
Image Edits (5:39)
Image Variations (1:17)

Audio (Whisper) API

Introduction (0:53)
Creating Transcriptions (3:39)
Creating Translated Transcriptions (0:58)
Limitations (1:43)

Moderations API

Introduction (1:13)
Moderations API (1:55)

Fine Tuning API

Introduction (2:11)
Preparing Training Data (6:47)
Creating Fine-Tunes (4:04)

Embeddings API

Introduction (1:27)
Creating Embeddings (2:10)

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Tokens, Probability, and Models

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