Blogs

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.

LLMs revolutionize coding & IT projects—faster dev, better debugging, smarter docs. Harness AI while mitigating risks!

Hybrid chatbots blend structured workflows with AI-powered agents, delivering intelligent and scalable conversations for businesses.

Comparing DeepSeek R1, Gemini 2.0 Flash, Gemini 1.5 Pro, o1, and o1-mini on coding challenges—who excels in reasoning and optimization?

We at Newtuple build applications which leverage LLMs (Large language models) like OpenAI, Gemini etc which has become an exciting...

Will AI replace all software engineers? How should technology teams navigate this new normal?

A guide to enforcing or excluding words for better control for OpenAI LLMs output Large Language Models (LLMs) are remarkably adept at generating human-quality text, but there are times when you need more nuanced control over their output. This could be ensuring technical accuracy, adhering to brand guidelines, or filtering out undesirable content. OpenAI's API offers a powerful tool to fine-tune OpenAI LLMs' vocabulary: the logit_bias argument (read more about it here ). The