12 Application(s) results for #ai
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pax-ai-iris

Hybrid Framework for Anomaly Detection: IRIS, Embd Python, AI

PARANI KAMATCHIYAPPAN
AI
ML
ML
0.0 (0)28 Mar, 2025 151

iris-GenLab

Application support Machine Learning, LLM, NLP, PALM and OpenAI

Muhammad Waseem
Docker
Python
IPM
AI
5.0 (1)21 Sep, 2023 813

InterSystems Ideas Waiting to be Implemented

AI extensibility Prompt keyword for Class and Method implementation. Also Prompt macro generator.

To accelerate capability of growing code generation. This proposal suggests new extensibility facilities and hooks that can be democratized to community and / or fulfilled by commercial partners. To add Training metadata to Refine a Large Language Model for code, a "Prompt Input" is associated with an expected "Code Output", as part of a class definition. This provide structured keywords to describe: * The expected output * And / Or Chain-of-thought to generate the correct output | /// The following Prompt describes the full implementation of the class Class alwo.Calculator [Abstract, Prompt = "Provides methods to Add, Subtract, Multiply and divide given numbers." ] { /// The following Prompt describes the full implementation of the method ClassMethod Add(arg1 As %Float, arg2 As %Float) As %Float [ Prompt ="Add numeric arguments and return result." ] { return arg1 + arg2 } ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { &Prompt("Subtract numeric arguments and return result") ) } | The Prompt macro generates code based on the context of the method it is within. Once resolved, it automatically comments out the processed macro. | ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { //&Prompt("Subtract arguments and return the result") return arg1 - arg2 //&Prompt("Model alwogen-objectscript-7.1.3") ) | The generator leveraged at compilation time could be configured in a similar way to how source control is configured for a namespace. Configuration could lock / exclude packages from being processed in this way. A "\prompt" compilation flag could be used to control the default environment behavior and editor compilation behavior. For example to force reprocessing of previously resolved prompts due to a newer more capable version of code Large Language Model, then a "\prompt=2" could be applied. Different models or third-party services could be applied depending the language of the given method. When redacting source code by "deployment", the existing "deploy" facility could be extended to also ensure removal of "Prompt" metadata from code.

A
by Alex Woodhead

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iris-vector

Initial realization for Vector datatype support

Dmitry Maslennikov
Docker
Python
IPM
AI
4.8 (4)20 Sep, 2023 509 18

ChatGPT Telegram Bot

Talk to Chat GPT via Telegram!

Evgeny Shvarov
Docker
IPM
AI
0.0 (0)12 Jun, 2023 552 24

AI text detection

Is your text generated by AI?

O
Oleh Dontsov
Docker
Python
AI
ML
ML
4.7 (3)01 Jul, 2023 466

PainChek®

AI supported, best-practice pain management medical device.

J
James Matthias
AI
0.0 (0)23 Nov, 2022 373

iris-local-ml

How to use Python and IRIS to run Machine learnings algorithms

L
Lucas Enard
Docker
Python
AI
ML
ML
4.0 (1)02 Aug, 2022 675

ML Made Easy : IntegratedML

A guide through the IntegratedML used as a hands-on session on InterSystems DACH PartnerTag 2020. It is based on work of Derek Robinson and documentation of InterSystems.

A
Aleksandar Kovacevic
Docker
AI
ML
ML
0.0 (0)16 Jul, 2020 205

PythonGateway-Template

PythonGateway Template repository

E
Eduard Lebedyuk
Docker
AI
ML
ML
0.5 (1)29 May, 2020 518

JuliaGateway

Interface to Julia programming language for InterSystems IRIS

E
Eduard Lebedyuk
Docker
AI
ML
ML
0.0 (0)09 Apr, 2020 771

Python Gateway Samples

Examples of PythonGateway Usage. Python Gateway for InterSystems Data Platforms. Execute Python code and more from InterSystems IRIS brings you the power of Python right into your InterSystems IRIS environment.

E
Eduard Lebedyuk
Docker
AI
ML
ML
0.0 (0)31 Jul, 2019 460

RGateway

Use R language with InterSystems IRIS

S
Shiao-Bin Soong
AI
ML
ML
0.0 (0)22 Apr, 2019 718