Imagen is one of Google's foundation models, a text-to-image diffusion model developed by Google AI. — Google’s new foundation model, Imagen, is here to bring your dreams to life. Ever wondered what your dreamy doughnut descriptions would look like in real life? Or fantasized about being a pirate with a parrot on your shoulder? (Arr, Matey! 🦜) Take a peek into the world of Image Generation…

LangChain is a framework that’s like a Swiss army knife for large language models (LLMs). — We’ll delve into LangChain’s components by implementing an engaging tour guide, making it an “all-knowing” Berlin expert. Follow along to see why LangChain is truly a game-changer by helping us easily create advanced LLM applications. So fasten your seatbelts and prepare for an engaging journey. With our AI companion powered…

Have you ever wondered if AI could dream? Interestingly, AI doesn’t dream, but it does “hallucinate”. — Large Language Models (LLMs) like PaLM or GPT occasionally demonstrate this intriguing behavior called hallucination. As the use of these models increases in various applications, understanding and managing these hallucinations has become essential. Understanding LLM Hallucinations An LLM hallucination is when the model makes stuff up that either doesn’t make sense or doesn’t…

Parameters in large language models are crucial because they help control the model's behavior. — PaLM 2 and GPT provide parameters for temperature, token limit, top-k, and top-p. This Article explains those parameters with everyday language and relatable examples. Before we dive into the parameters, it's crucial to understand the concept of tokens. The Language of Tokens In the world of large language models, a token can be as…

Apply LLMs to your domain-specific data — With Large Language Models (LLMs), we can integrate domain-specific data to answer questions. This is especially useful for data unavailable to the model during its initial training, like a company's internal documentation or knowledge base. The architecture is called Retrieval Augmentation Generation or less commonly used Generative Question Answering. This…

This article walks you through the process of creating robust prompts for LLMs. Learn how slight variations in your prompt can shape your model response. — What is Prompt Engineering? Prompt Engineering refers to crafting effective prompts that can efficiently instruct LLMs that power Bard or ChatGPT to perform desired tasks. Those tasks can be applied to many different use cases. It involves the precise wording, formatting, and structuring of a prompt to optimize the model’s output, enhancing relevance and…

A comprehensive list of articles that provides you knowledge about Machine Learning on Google Cloud. — This website is for the sole purpose of keeping an overview of all ML-related articles I published on medium.com. Almost every article contains a notebook with code for you to use, including a YouTube video. Generative AI Generative AI — Getting Started with PaLM 2 Generative AI — The Evolution of Machine…

Learn how to get started with Generative AI and PaLm2 on Vertex AI — The Vertex AI PaLM API is a Google Cloud service that enables the usage and training of generative models. Let me first remove some of the confusion. Generative AI Studio is a feature of Vertex AI. …

How to Approach ML Problems in Times of Generative AI. The world of ML is rapidly changing. — With the advent of large language models that power Generative AI such as PaLM by Google and GPT by OpenAI, the recent landscape has considerably shifted. These large LLMs that can only be trained by companies with significant budgets have begun to alter the approach of ML engineers toward solving…