Aakanksha Bhende

@aakankshabhende

Engineering @Red Hat • Kubernetes Release Team • LiFT Scholar'23 • GitHub Campus Expert • Open Source Enthusiast • Mentor

IndiaJoined February 2022

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Software Engineer | Open Source Enthusiast | Mentor | Learner I love documenting stuff that I come across and find interesting. Hoping that you will love reading it and get to know something new :)

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Aakanksha Bhende's blogs

Aakanksha Bhende | Blogsblogs.aakanksha.is-a.dev20 posts

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Recently published

ABAakanksha Bhendeblogs.aakanksha.is-a.devMay 20 · 6 min read

The need for Model Context Protocol

AI development often presents an illusion of standardization. When engineering structured workflows, JSON Schema is universally relied upon to force Large Language Models into returning predictable, t

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ABAakanksha Bhendeblogs.aakanksha.is-a.devApr 14 · 7 min read

Understanding vLLM: High-Performance Inference Engine for LLM

Large language models (LLMs) like Llama, Qwen, and DeepSeek are transforming how software interacts with data. However, moving these models from a local experimental script to a highly available, mult

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ABAakanksha Bhendeblogs.aakanksha.is-a.devOct 14, 2025 · 6 min read

Understanding AI Models

Artificial Intelligence (AI) models, especially large language models (LLMs) like GPT, Claude, or Gemini, have transformed how we interact with computers. Yet, terms like tokens, token limits, quotas, tokenizers, and parameters can seem confusing at ...

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ABAakanksha Bhendeblogs.aakanksha.is-a.devSep 30, 2025 · 5 min read

Evolution of JavaScript Modules

JavaScript development involves many concepts and tools that help developers organize, share, and reuse code effectively. For newcomers, terms such as library, framework, UMD, and CDN can seem technical, and understanding their roles is essential for...

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ABAakanksha Bhendeblogs.aakanksha.is-a.devSep 2, 2025 · 4 min read

Understanding Quantization and Fine Tuning in Large Language Models

Large language models (LLMs) such as GPT, LLaMA, and Falcon have billions of parameters. While these models are powerful, their size makes them challenging to run and adapt for specific use cases. Three key concepts help solve this problem: quantizat...

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Aakanksha Bhende

About

Available for

Aakanksha Bhende's blogs

Recently published

The need for Model Context Protocol

Understanding vLLM: High-Performance Inference Engine for LLM

Understanding AI Models

Evolution of JavaScript Modules

Understanding Quantization and Fine Tuning in Large Language Models

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Aakanksha Bhende

About

Available for

Aakanksha Bhende's blogs

Recently published

The need for Model Context Protocol

Understanding vLLM: High-Performance Inference Engine for LLM

Understanding AI Models

Evolution of JavaScript Modules

Understanding Quantization and Fine Tuning in Large Language Models