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Showing posts with the label GenerativeAI

Use AI to build your house!

When a new housing society emerges, residents inevitably create chat groups to connect and share information using various chat apps like WhatsApp and Telegram. In India, Telegram seems to be the favorite as it provides generous group limits, admin tools, among other features. These virtual communities become treasure troves of invaluable insights. But whatever app you use, there is always a problem of finding the right information at right time. Sure, the apps have a "Search" button, but they are pretty much limited to keyword search and are useless when you have to search through thousands of messages. I found myself in this situation when it was my turn to start on an interior design project for my home. Despite being part of a vibrant Telegram group, where countless residents had shared their experiences with various interior designers and companies, I struggled to unearth the pearls of wisdom buried within the chat's depths. I remembered that I could take advantage o...

Serverless Generative AI: How to Query Meta’s Llama 2 Model with Microsoft’s Semantic Kernel and AWS Services

Generative AI is a type of artificial intelligence that can create new content such as text, images, music, etc. in response to prompts. Generative AI models learn the patterns and structure of their input training data by applying neural network machine learning techniques, and then generate new data that has similar characteristics. They are all the rage these days. 😀 Some types of generative AI include: Foundation models , which are complex machine learning systems trained on vast quantities of data (text, images, audio or a mix of data types) on a massive scale. Foundation models can be adapted quickly for a wide range of downstream tasks without needing task-specific training. Examples of foundation models are GPT, LaMDA and Llama . Generative adversarial networks (GANs) , which are composed of two competing neural networks: a generator that creates fake data and a discriminator that tries to distinguish between real and fake data. The generator improves its ability to fool the d...