Large Language Models
by
Pranav Patel
Using Low-rank adaptation (LoRA) and other PEFT techniques can help you train LLMs and other models faster and in a much cheaper way.
Chatbots
Pranav
Learn how to build a custom GPT-4 chatbot on a knowledge base. GPT-4 models can be customized with prompt engineering to provide personalized responses to user queries in any domain.
AI in Medical Industry
Mathavan
LLMs for medical industry are very helpful, but medical images like CT scans, MRIs etc cannot be ignored. Hence we propose a pipeline with Visual LLMs which can process medical images and extract insights from them.
AI in Sport Analysis
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.
Machine Learning
Harshit
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.
Model Deployment
Learn how you can privately deploy custom open source LLMs in your cloud for data privacy and security.
PEFT Finetuning
In this blog we provide detailed explanation of how QLoRA works and how you can use it in hugging face to finetune your models.
LLMs
Learn how to integrate tools with public or private language models (LLMs) using sophisticated techniques.
AI in Sales
Learn how to train your own AI model to craft compelling sales messages that drive success and increase conversions.
Stable Diffusion
In this blog post we will show you how you to generate product images using stable diffusion
Prompt Engineering
Maithili Badhan
Learn how you can use Chain of Thought (CoT) prompting to boost LLM performance at reasoning tasks.
Virtual Reality
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.
Computer Vision
A comprehensive step-by-step guide with code to building a visual product search engine using the CLIP model.