DIY Voice-Powered Diwali AI: Celebrate Without API HasslesBuild your own Voice-Powered Diwali AI with local LLMs, no APIs or tokens! Celebrate tech-savvy, festive fun with this free and easy guide!Oct 20Oct 20
#3 [MUST] Setting Up MLOps PipelineIn this final article of our MLOps 3-Stage Pipeline series, we combine all stages — data ingestion, model development, and inference.Sep 4Sep 4
🎓LM Studio Demystified: Your Ultimate Guide to Running Local LLMs | Installation & SetupRun LLMs locally with ease using LM Studio! Supports AMD, Nvidia, Intel, & HuggingFace models. Perfect for AI research & development. 🚀Aug 26Aug 26
#2.3 [MUST] Inference for MLOps PipelineMaster model inference in your MLOps pipeline with this PyTorch tutorial. Perfect for enhancing your MLOps expertise.Aug 21Aug 21
Ola Krutrim — Shaping the Indian AI Scene (& Free Credits)OLA Krutrim, an AI startup that was founded in December 2023, has begun to disrupt the AI industry. The AI and cloud services company…Aug 16Aug 16
#2.2 [MUST] Building Models for MLOps PipelineModel Development stage of the MLOps pipeline, covering data preparation, model selection, training, hyperparameter tuning, and evaluation.Aug 14Aug 14
#2.1 [MUST] Data Ingestion for MLOps PipelineLearn how to build a foundational MLOps pipeline with a focus on data ingestion. Perfect for beginners looking to set up a data pipeline.Aug 12Aug 12
#1 [MUST] Basic 3-Stage Pipeline for MLOPS : TheoryLearn how to build a simple 2-stage MLOps pipeline for your projects, so they come out from jupyter notebook to real-world.Aug 11Aug 11
OLLAMA — Your Local LLM Friend: Installation Tutorial 🖥️🚀Large Language Models, or LLMs, have transformed many industries with their scale and capabilities. But because of their size and…Aug 10Aug 10
PyTorch + DirectML with AMD: Installation for Deep Learning w/ Results 🚀We have found an efficient technique to leverage AMD GPUs for deep learning applications in a recent article (see here). This technique…Aug 10Aug 10
![#3 [MUST] Setting Up MLOps Pipeline](https://miro.medium.com/v2/resize:fill:160:106/1*w0Ppnk3HJ1OqGQp0ralbrA.png)
![#3 [MUST] Setting Up MLOps Pipeline](https://miro.medium.com/v2/resize:fill:320:214/1*w0Ppnk3HJ1OqGQp0ralbrA.png)
![#2.3 [MUST] Inference for MLOps Pipeline](https://miro.medium.com/v2/resize:fill:160:106/1*uDaU6V8RI68asGRGD3dKIg.png)
![#2.3 [MUST] Inference for MLOps Pipeline](https://miro.medium.com/v2/resize:fill:320:214/1*uDaU6V8RI68asGRGD3dKIg.png)
![#2.2 [MUST] Building Models for MLOps Pipeline](https://miro.medium.com/v2/resize:fill:160:106/1*ZIOJcf1kt2BCUKFiq6XZxg.png)
![#2.2 [MUST] Building Models for MLOps Pipeline](https://miro.medium.com/v2/resize:fill:320:214/1*ZIOJcf1kt2BCUKFiq6XZxg.png)
![#2.1 [MUST] Data Ingestion for MLOps Pipeline](https://miro.medium.com/v2/resize:fill:160:106/1*rEsdKGMIB82u7W8IWy8JFg.png)
![#2.1 [MUST] Data Ingestion for MLOps Pipeline](https://miro.medium.com/v2/resize:fill:320:214/1*rEsdKGMIB82u7W8IWy8JFg.png)
![#1 [MUST] Basic 3-Stage Pipeline for MLOPS : Theory](https://miro.medium.com/v2/resize:fill:160:106/0*7LlmayV-HYDOGcxK.png)
![#1 [MUST] Basic 3-Stage Pipeline for MLOPS : Theory](https://miro.medium.com/v2/resize:fill:320:214/0*7LlmayV-HYDOGcxK.png)
