macOS GPT-LLM Playground

What is macOS GPT-LLM Playground?

macOS GPT-LLM Playground is a native Mac IDE designed specifically for Prompt Engineering with Time Travel. It offers Versioning, Full-Text Search, Multi-Model support, Combinatorial Runs, Variants, Model-Cost Aware features, API integration, Token Stats, Custom Endpoints, Local Models, Tables, Syntax highlighting, LaTeX support, Notes Export, Shortcuts, Vim Mode, and a Sandbox environment. It is built with Cocoa, SwiftUI, and SQLite.

Added on June 03 2023

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Website Traffic

Last Month's Visits:
0
Last 3 Month's Visits:
0 (-848)
Last 6 Month's Visits:
5.0K (-4.9K)
Total Visitors
Visitors Growth

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How to install?

How to use macOS GPT-LLM Playground?

To use macOS GPT-LLM Playground, simply download it on macOS 13+ and install it on your machine. Launch the IDE and start exploring its various features. You can create and manage prompts, navigate through Time Travel to review and modify previous versions of your work, utilize Full-Text Search to find specific content, experiment with Multi-Model combinations, analyze Token Stats, customize API endpoints, work with local models and tables, write code with syntax highlighting or LaTeX support, export notes, use shortcuts for faster navigation, enable Vim Mode for familiar editing experience, and ensure privacy and security with the sandbox environment. For any assistance or feedback, there is a dedicated Support & Feedback section.

macOS GPT-LLM Playground's Core Features

Prompt Engineering
Time Travel
Versioning
Full-Text Search
Multi-Model Support
Combinatorial Runs
Variants
Model-Cost Aware
API Integration
Token Stats
Custom Endpoints
Local Models
Tables
Syntax Highlighting
LaTeX Support
Notes Export
Shortcuts
Vim Mode
Sandbox environment

macOS GPT-LLM Playground's Use Cases

#1 Prompt engineering and experimentation
#2 Development and modification of prompts leveraging Time Travel
#3 Efficient content search with Full-Text Search
#4 Model combination exploration with Multi-Model support
#5 Analysis and optimization of model costs using Model-Cost Aware features
#6 Integration of APIs and customization of endpoints
#7 Analyzing Token Stats and usage patterns
#8 Working with local models and tables
#9 Writing code with syntax highlighting and LaTeX support
#10 Exporting notes for documentation or sharing purposes
#11 Increased productivity with shortcuts and Vim Mode
#12 Ensuring privacy and security within the sandbox environment

macOS GPT-LLM Playground Traffic

Visit Over Time

Monthly Visits
< 5K
Avg.Visit Duration
00:00:00
Page per Visit
0.00
Bounce Rate
0.00%
Feb 2023 - Mar 2024 All Traffic

Geography

Top 3 Regions

Australia
41.91%
United Kingdom
40.03%
Singapore
18.05%
Feb 2023 - Mar 2024 Desktop Only

Traffic Sources

Search
100.00%
Mail
0.00%
Direct
0.00%
Social
0.00%
Referrals
0.00%
Display Ads
0.00%
Feb 2023 - Mar 2024 Worldwide Desktop Only

FAQ from macOS GPT-LLM Playground

How can I download macOS GPT-LLM Playground?
What are some core features of macOS GPT-LLM Playground?
Can I customize the API endpoints in macOS GPT-LLM Playground?
Is there a support system available for macOS GPT-LLM Playground?
Does macOS GPT-LLM Playground ensure privacy and security?
Can I export my notes from macOS GPT-LLM Playground?
Does macOS GPT-LLM Playground support Vim Mode for editing?
What is Prompt Engineering?
What is Time Travel in macOS GPT-LLM Playground?