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Image generation AIs like Midjourney, Stable Diffusion, and DALL-E 3 use diffuser models. These AIs are changing how every visual industry works, from art to marketing. In this webinar, you'll learn how to build your own diffuser model from scratch! You'll be using Python and PyTorch to create a simple version of this cutting edge technology.
Working in data can be an amazing career path: it's intellectually rewarding, well paid, and lots of fun. However, the prestige of this role also makes it tricky to break into. In this webinar, you'll learn from Lindsay Murphy - a Head of Data with considerable hiring experience - what really matters when you are trying to get hired for that dream data role. Learn about the skills you need, and how to present them in a way that will get you noticed by data hiring managers.
Building a high functioning product team that creates great user experiences depends on building a good data culture. In this session we’ll talk about the impact of reliable insights about your product releases, why good data cultures are born from cross-functional collaboration at the source of where the data is created, and what it takes to build a culture where getting valuable insights is effective and enjoyable for everyone involved, from the data professional to the product manager and product engineer.
Large language models (LLMs) like Llama 2 are the must-have technology of the year. Unfortunately, LLMs can't accurately answer questions about your business because they lack enough domain knowledge. The solution is to combine the LLM with a vector database like Chroma—a technique known as retrieval augmented generation (RAG). Beyond this, incorporating AI into products is best done with an AI application framework, like LlamaIndex. In this session you'll learn how to get started with Chroma and perform Q&A on some documents using Llama 2, the RAG technique, and LlamaIndex.
Running an organization-wide data literacy training program can be challenging. You need to match roles to the skills they need to learn, and market your training to employees and find ways to maintain engagement. In this session, Ed discusses the challenges and successes of the program, along with practical tips for how to scale training at your organization. He also talks about the benefits that can accrue from having data literate employees across your organization.
Fine-tuning models lets you customize them for new tasks. Fine-tuning GPT3.5 can give you improved accuracy if you want it to respond with legal, medical or scientific jargon, or use a particular tone of voice, or talk about niche topics. In the first webinar in this two-part series, you'll learn how to use the OpenAI API and Python to get started fine-tuning GPT3.5.
Exploratory data analysis is about getting to know a new dataset. It is an essential skill for any data analyst or data scientist. In this code-along, you will be introduced to the basics of exploring new datasets. Using data on UK Premiership soccer results, you will use Python to calculate summary statistics and draw visualizations to generate insights.
Good sales analytics capabilities can result in increased sales rep productivity and a superior customer experience. However, with so many use cases and diverse datasets, it's common to end up with data silos, and suffer from poor data hygiene and a lack of automation. In this session, you'll learn how to improve customer dashboards, sales forecasting, and sales notification systems, and see how Snowflake can be used across these areas of sales analytics.
