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 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.
In this post we review advanced prompt engineering techniques like chain of thought (CoT) prompting, self consistency, ReAct, ToT, etc for production grade prompts.
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.
AI
Learn how to leverage OpenAI's GPT-4 and NLP techniques to improve sales processes and boost your conversions.
Datasets
In this practical guide you'll learn how to build high quality synthetic datasets using ChatGPT.
