Codenteam Intersect - All-In-One AI - Generate Text, Images, Videos, Websites

Overview

What is GPT-3.5 Turbo?

Fast and cost-effective language model optimized for chat and conversational applications with good general performance.

Created by:

OpenAI

Release Date:

2022-11-30

Capabilities Overview

TextGeneration 85%

Reasoning 80%

Coding 82%

Multimodal 0%

Safety 88%

Technical Specifications

Architecture

type: Transformer

parameters: 175 billion

context: 16,385 tokens

trainingDataUpTo: September 2021

architecture: Optimized GPT-3.5 architecture with efficient attention mechanisms, instruction fine-tuning, and RLHF for improved chat performance

Performance Metrics

MMLU: 70.0%

HumanEval: 48.1%

HellaSwag: 85.5%

ARC Challenge: 85.2%

Response Time: 100ms

Cost Efficiency: 99%

Performance Dashboard

TextGeneration

85%

Reasoning

80%

Coding

82%

Multimodal

0%

Safety

88%

Technical Metrics

Parameters: 175B

ContextWindow: 16385

Latency: 100

Accuracy: 82.5

Cost: $0.0015/1K tokens

Benchmark Performance

MMLU 70.0%

HumanEval 48.1%

HellaSwag 85.5%

ARC Challenge 85.2%

Response Time 100ms

Cost Efficiency 99%

Features

Fast Response

Optimized for speed with sub-second response times

Cost Effective

Most affordable GPT model for high-volume applications

Chat Optimized

Fine-tuned specifically for conversational interfaces

Multilingual

Supports multiple languages with good performance

Code Generation

Capable of generating and explaining code in various languages

Extended Context

16K token context window for longer conversations

Pros & Cons

Advantages

Very fast responses
Extremely cost-effective
Good for high-volume use
Reliable performance

Disadvantages

Less capable than GPT-4
Limited reasoning abilities
No multimodal support

What can it do?

Customer Support Bot

Build responsive customer service chatbots that handle common inquiries efficiently

GPT-3.5 Turbo