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Description
Interview Coder is a desktop application tailored to support job applicants in excelling at technical interviews by offering immediate help with coding challenges. Utilizing advanced AI, it formulates solutions based on images of the interview questions and coding tasks that the user submits. One standout feature is its ability to remain undetected during screen-sharing sessions, allowing candidates to use it without the interviewer being aware. The app encompasses a variety of functionalities, including automatic solution creation, debugging assistance, and optimization techniques with thorough explanations and analysis of complexity. Additionally, Interview Coder is versatile, supporting multiple programming languages and aiding users in efficiently crafting and enhancing their coding answers. The application also features intuitive keyboard shortcuts for streamlined navigation, including the capability to relocate the window discreetly and options to quickly reset or exit the program if needed. With its comprehensive tools, Interview Coder equips candidates with the confidence to tackle technical interviews head-on.
Description
StarCoder and StarCoderBase represent advanced Large Language Models specifically designed for code, developed using openly licensed data from GitHub, which encompasses over 80 programming languages, Git commits, GitHub issues, and Jupyter notebooks. In a manner akin to LLaMA, we constructed a model with approximately 15 billion parameters trained on a staggering 1 trillion tokens. Furthermore, we tailored the StarCoderBase model with 35 billion Python tokens, leading to the creation of what we now refer to as StarCoder.
Our evaluations indicated that StarCoderBase surpasses other existing open Code LLMs when tested against popular programming benchmarks and performs on par with or even exceeds proprietary models like code-cushman-001 from OpenAI, the original Codex model that fueled early iterations of GitHub Copilot. With an impressive context length exceeding 8,000 tokens, the StarCoder models possess the capability to handle more information than any other open LLM, thus paving the way for a variety of innovative applications. This versatility is highlighted by our ability to prompt the StarCoder models through a sequence of dialogues, effectively transforming them into dynamic technical assistants that can provide support in diverse programming tasks.
API Access
Has API
API Access
Has API
Integrations
Python
C++
ChatGPT
CodeQwen
Git
GitHub
Go
Java
JavaScript
Kotlin
Integrations
Python
C++
ChatGPT
CodeQwen
Git
GitHub
Go
Java
JavaScript
Kotlin
Pricing Details
$60 per month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Interview Coder
Country
United States
Website
www.interviewcoder.co
Vendor Details
Company Name
BigCode
Founded
2023
Website
huggingface.co/blog/starcoder