FlowCoderOmnipacket
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StarCoderBigCode
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About
FlowCoder is a WYSIWYG programming framework for prototyping, debugging, validation, fuzzing as well as functional, load, and security testing of computer networks. It allows building packets for a variety of network protocols, sending them on the wire, receiving and analyzing incoming network traffic, matching requests with replies, keeping and changing the state and much more. Local execution is the simplest case. All packets sent by FlowCoder originate on a local host. Packets coming back in response are processed there as well. Only FlowCoder IDE components run locally. A flowchart, once created, is shipped for execution to a cloud running multiple instances of the flowchart processor engine. Packets are originated and processed in a cloud. The local user gets back diagnostics and statistical data. Playing MITM in a cloud. Flowchart sees the packets passing between a pair of network end-points, and could modify them at any stack layer.
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About
StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder.
We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies in need of a WYSIWYG packet builder solution optimized for network testing automation operations
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Audience
Developers interested in an LLM for code generation
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationOmnipacket
Founded: 2014
omnipacket.com/flowcoder
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Company InformationBigCode
Founded: 2023
huggingface.co/blog/starcoder
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Categories |
Categories |
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Integrations
ChatGPT
CodeQwen
Git
GitHub
LM Studio
OpenAI
Python
Tabby
Taylor AI
Visual Studio Code
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Integrations
ChatGPT
CodeQwen
Git
GitHub
LM Studio
OpenAI
Python
Tabby
Taylor AI
Visual Studio Code
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