For running flows, you need the compute capacity equivalent to or exceeding the requirements for running the models. Once you have the computer resources, follow the below steps.
Install Linux Screen on Ubuntu and Debian
Neel-Shah-29
/ external.md
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July 8, 2024 10:41
How to make a call to llama-3 using Litellm on your own server
Neel-Shah-29
/ Runaitut.md
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July 8, 2024 08:55
How to make a call to llama-3 using Litellm on Run-AI
We need this because RunAI is a wrapper around Kubernetes.
Neel-Shah-29
/ Final Evaluation.md
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February 13, 2024 16:51
Neel-Shah-29
/ Final-Evaluation-Gsoc.md
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October 4, 2022 14:01
Blog describing my work done for Final Evaluation in GSOC 2022
I am walking through all the steps required for implementing the operators in SOFIE with the help of an example of Leaky Relu Operator.
The Defination is available at ONNX Documentation here
This is the period of time between when accepted GSoC contributors are announced and the time they are expected to start coding. This time is an excellent one to introduce your GSoC contributors to the community, get them on the right mailing lists, introduce them to the codebase, discuss how they will work with their mentors on their timeline for the program, etc.
I had an unique experience during the community bonding period, i will share my experience and the kind of satisfaction i got after the completion of this period.
GSoC is a awesome open source program for students to get some experience in open source development. It is an initiative by Google that helps organizations connect with students and get them started with their open-source projects. It is a great platform to explore new areas, maybe discover a new career path!
Neel-Shah-29
/ Blog.md
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November 24, 2021 16:47
GANs are a relatively recent invention in field of ML. The primary objective of GANs was to generate new samples from the given dataset. And since the invention of GANs, they have grown to accomplish this task with better results and added features. Sketch to Color Image generation is an image-to-image translation model using Conditional Generative Adversarial Networks. In this project we learnt to create a Conditional GAN to predict colorful images from the given black and white sketch inputs without knowing the actual ground truth.
This section contains the technologies we used for this project.