Blogs

Data pipeline Creating a pipeline that requires sending some events to be processed in the background keeping scalability in mind is one of the key requirements for building applications today. In order to process heavy/time consuming jobs in your current application it’s generally better to separate it from your core application, and one way to achieve is to use a pub/sub architecture. The idea here is as follows: Maintain a queue of messages A publisher pushes messages to t

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

How do cloud based OCR services compare with multimodal LLMs? This article provides a comprehensive comparison

Compare the latency for different LLM models before building your AI application

Amazon recently launched "Q" at its flagship event AWS re:Invent. First off, the choice of name is interesting as there's been all sorts...

This is an overview of announcements from OpenAI for gen-AI developers.

With the rise of AI tools for data analysis, do you really need a data team anymore?

LLM price comparison for developing your own AI apps

Google made a bunch of announcements at its recent Google I/O event, including the release of its Vertex AI models for language...