In this blog we show how you can use AI and ball tracking techniques for sport analysis and improve performance of players in games like basketball, soccer, football, cricket, etc. We compare the new approaches and the old too.

Most of the applications need access to process long texts and documents, BERT models even though competent, might not perform very good for long contexts. In this blog, we show how to work with long texts and contexts with BERT.

Learn how you can privately deploy custom open source LLMs in your cloud for data privacy and security.

In this blog we provide detailed explanation of how QLoRA works and how you can use it in hugging face to finetune your models.

Learn how to integrate tools with public or private language models (LLMs) using sophisticated techniques.

Learn how to train your own AI model to craft compelling sales messages that drive success and increase conversions.

In this blog post we will show you how you to generate product images using stable diffusion

Learn how you can use Chain of Thought (CoT) prompting to boost LLM performance at reasoning tasks.

In this post we review advanced prompt engineering techniques like chain of thought (CoT) prompting, self consistency, ReAct, ToT, etc for production grade prompts.

Learn how AI can be used to create more immersive and realistic VR experiences. Use AI to generate realistic textures, lighting, and sound effects, making VR experiences more engaging.

Our analysis of open source Large Language Models, encompassing licensing and commercial offerings, provides in-depth comparisons and library resources.

A comprehensive step-by-step guide with code to building a visual product search engine using the CLIP model.