LLM Evaluations
by
Pranav Patel
Learn how to build custom advanced LLM evaluations for enterprise AI deployment. Discover why public benchmarks fail and create internal evaluation pipelines that ensure quality, reduce costs, and improve user satisfaction.
Large Language Models
Using Low-rank adaptation (LoRA) and other PEFT techniques can help you train LLMs and other models faster and in a much cheaper way.
Prompt Engineering
Maithili Badhan
Learn how you can use Chain of Thought (CoT) prompting to boost LLM performance at reasoning tasks.
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.
Stable Diffusion
Mayank
Learn how IP-Adapter enhances diffusion models by enabling image prompts. Explore its architecture, training process, and comparison to ControlNet and LoRA.
Churn Analysis
Aditya Aryan
Learn how to do churn analysis for your customers so you can retain your customers for longer and understand important business insights
Computer Vision
Yash Sonawane
In this blog we talk about crowd management and how to build cloud and on-edge systems to do crowd management in realtime.
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.
AI in Hiring Automation
Yash Sonawale
In this detailed guide, we talk about how LLMs can be used to automate hiring by a lot and be an major upgrade from the old ATS systems. We show how to build and present our own open source solution for people to work with.
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. We also touch on the lastest quantization and LoRA based training methods!
In this post we review advanced prompt engineering techniques like chain of thought (CoT) prompting, self consistency, ReAct, ToT, etc for production grade prompts.
In-depth Guide to prompting LLMs via ReACT prompting and how to build production grade agentic systems using ReACT.
LLMs in Document Processing
IDP processing is at the core of many large scale companies, in this blog we will talk about what exactly an IDP system is made of and how you can build and optimize your own IDP using LLMs and new techniques.
LLMs
Mathavan
Comprehensive guide to building an enterprise grade customer support bot using LLMs and advanced escalation and ticketing systems.
