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VOXPOP
As a JavaScript developer, what non-React tools do you use most often?
Angular
0%
Astro
0%
Svelte
0%
Vue.js
0%
Other
0%
I only use React
0%
I don't use JavaScript
0%
AUTHOR PROFILE
Janakiram MSV
Janakiram MSV

Janakiram MSV is the Principal Analyst at Janakiram & Associates and an adjunct faculty member at the International Institute of Information Technology. He is also a Google Qualified Cloud Developer, an Amazon Certified Solution Architect, an Amazon Certified Developer, an Amazon Certified SysOps Administrator, and a Microsoft Certified Azure Professional. Janakiram is an Ambassador for the Cloud Native Computing Foundation, and also one of the first Certified Kubernetes Administrators and Certified Kubernetes Application Developers. His previous experience includes Microsoft, AWS, Gigaom Research, and Alcatel-Lucent.

STORIES BY Janakiram MSV
Build a RAG App With Nvidia NIM and Milvus Running Locally
Build a RAG App With Nvidia NIM APIs and a Vector Database
A Developers Guide to NIM, Nvidia’s AI Application Platform
GitHub Models: Review of Microsoft’s New AI Engineer Platform
How To Run an Agent on Federated Language Model Architecture
6 Amazon Bedrock Guidelines for LLM-Based GenAI Apps
How To Build an AI Agent That Uses RAG To Increase Accuracy
How To Get Started Running Small Language Models at the Edge
Federated Language Models: SLMs at the Edge + Cloud LLMs
AI Agents: Key Concepts and How They Overcome LLM Limitations
5 Open LLM Inference Platforms for Your Next AI Application
Building an Open LLM App Using Hermes 2 Pro Deployed Locally
How To Build a Real-Time App With GPT-4o Function Calling
A Comprehensive Guide to Function Calling in LLMs
Enhancing AI Coding Assistants with Context Using RAG and SEM-RAG
Tutorial: Using LangChain and Gemini to Summarize Articles
How to Build a Q&A LLM Application with LangChain and Gemini
How to Store Embeddings in Vector Search and Implement RAG
Exploring the API of Google’s Gemini Language Model
How to Get Started with Google’s Gemini Large Language Model
Gemini: All You Need to Know about Google’s Multimodal AI
The Building Blocks of LLMs: Vectors, Tokens and Embeddings
5 Bottlenecks Impacting RAG Pipeline Efficiency in Production
Accessing Perplexity Online LLMs Programmatically Via API
How Perplexity’s Online LLM Was Inspired by FreshLLMs Paper
How the GenAI Revolution Reminds Us of 1990s Computing
Build a Q&A Application with Amazon Bedrock and Amazon Titan
Semantic Search with Amazon OpenSearch Serverless and Titan