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From Prototype to Production: Best Practices for Building Production‑Ready AI Systems
From Markdown inputs to load-balanced LLM endpoints, this guide walks through key lessons learned while taking a financial AI prototype into production. Learn how structured prompts, JSON validation, exponential backoff, batching, observability tools, and smart frameworks like LiteLLM can transform your system into a scalable, resilient AI service.
Rahul Kumar
11 min read
17 views
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How AI-Driven Software Development is Transforming the Coding and IT Industries
LLMs revolutionize coding & IT projects—faster dev, better debugging, smarter docs. Harness AI while mitigating risks!
Sameer Kankute
4 min read
18 views
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Bridging the Gap: How Hybrid Chatbots are Redefining Intelligent Conversations
Hybrid chatbots blend structured workflows with AI-powered agents, delivering intelligent and scalable conversations for businesses.
Shivkumar Salunkhe
7 min read
50 views
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Comparing Reasoning models: DeepSeek vs Gemini vs OAI
Comparing DeepSeek R1, Gemini 2.0 Flash, Gemini 1.5 Pro, o1, and o1-mini on coding challenges—who excels in reasoning and optimization?
Praharshita Kulkarni
5 min read
146 views
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Unleashing Efficiency: Batch Processing with Large Language Models
We at Newtuple build applications which leverage LLMs (Large language models) like OpenAI, Gemini etc which has become an exciting...
Rahul Kumar
4 min read
92 views
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Beyond Plain Text: Mastering OpenAI LLM Output for Specific Needs
A guide to enforcing or excluding words for better control for OpenAI LLMs output Large Language Models (LLMs) are remarkably adept at...
Aniket Kulkarni
3 min read
84 views
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