Gyanendra

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Exploring Vector Databases: Types and Use Cases

Mar 19, 20242 min read

Democratizing AI: Inside the PostgresML Platform

Mar 1, 20245 min read

Efficiently Serving Large Language Models (LLMs) with Advanced Techniques

Large Language Models (LLMs) have become indispensable tools in natural language processing, but their deployment and efficient serving pose significant challenges due to computational demands. In this comprehensive technical article, we will delve i...

Mar 26, 20248 min read

Understanding Context Length in Large Language Models (LLMs)

Feb 29, 20244 min read

Advanced Linear Regression Tutorial: Understanding Regression Problems, Global Minimum, and Gradient Descent

Feb 15, 202424 min read

Understanding Tensors in TensorFlow: The Building Blocks of Higher-Dimensional Data

TensorFlow, as the name suggests, revolves around the concept of tensors. Tensors serve as the fundamental building blocks upon which TensorFlow, one of the most powerful and widely-used deep learning frameworks, is built. But what exactly is a tenso...

Feb 13, 20247 min read

From Brainstorms to Brilliant Models: Your MLOps Playbook Adventure

With the rapid progress in machine learning and AI models, MLOps will be a crucial tool for successfully implementing machine learning projects from conception to deployment. And hence its important to have a comprehensive MLOps playbook. This is mor...

Feb 4, 20243 min read

The AI Revolution of 2023: Democratization, Disruption, and the Road Ahead

2023 was a turning point for Artificial Intelligence (AI) and Machine Learning (ML). No longer confined to the laboratories of a few tech giants, these revolutionary technologies were democratized through the launch of powerful LLMs (Large Language M...

Dec 22, 20232 min read

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