How to Fine-Tune and Serve LLMs Simply, Quickly, and Cost-Effectively Using Ray + DeepSpeed + HuggingFace
This is part 4 of our blog series on Generative AI. In the previous blog posts we explained why Ray is a sound platform for Generative AI, we showed how it can push the performance limits, and how you can use Ray for stable diffusion. In this blog, we... Read more
Auto-GPT Unmasked: The Hype and Hard Truths of its Production Pitfalls
The tech world has recently been abuzz with the astounding rise of Auto-GPT, an experimental open-source application built on the cutting-edge GPT-4 language model. In a mere seven days, this project has skyrocketed to fame, amassing an incredible 44,000 GitHub stars and captivating the open-source community.... Read more
Fine-Tuning: Unlocking the Full Potential of AI for Businesses
Developments in artificial intelligence are moving fast, and it feels like there’s something new going on with large AI models almost every day. These breakthroughs have opened up a world of possibilities for various industries. But to make the most of AI-powered processes and tools, it... Read more
Introduction to Power BI Datamarts
Microsoft announced the public preview availability of Datamarts in May 2022. When authoring this chapter, Datamarts are still in preview, so using them in production environments is not recommended. The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power... Read more
Origins of Generative AI and Natural Language Processing with ChatGPT
By now you’ve likely heard of ChatGPT, and the varying opinions surrounding it—people love it, people hate it, and people are afraid of it. It can generate a recipe for chocolate chip cookies, write a Broadway-style song about your kids, and create usable code. Joining in... Read more
Augmented Analytics – Where Do You Fit in at the Intersection of Analytics and Business Intelligence?
Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals.  And with augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise. A shift has been... Read more
5 Concerns for ML Safety in the Era of LLMs and Generative AI
The landscape of cybersecurity and machine learning safety changes constantly as new tools are developed and malicious actors get more creative. Cybersecurity professionals sometimes have a hard time staying current with all new technologies, and in turn, staying current with how attacks, phishing, and other cyberattacks... Read more
5 Data Engineering and Data Science Cloud Options for 2023
Data science and data engineering are incredibly resource intensive. Between accessing databases, using frameworks, using applications, and more, a lot of power is needed to run even the simplest algorithms. By using cloud computing, you can easily address a lot of these issues, as many data... Read more
A Study of Real-world AI Model Failures and Their Impact
Editor’s note: Ayush Patel is a speaker for ODSC East 2023. Be sure to check out his talk, “Why do AI Models go Rogue? A Guide to Detect and Fix Silent Model Failures,” to learn more about AI model failures. Rapid advancements in AI have made... Read more
Faster Stable Diffusion Fine-Tuning with Ray AIR
In this blog post, we explore how to use Ray AIR to scale and accelerate the fine-tuning process of a stable diffusion model. When Stable Diffusion was released last year, it took the internet by storm: This magic machine learning model is able to convert a textual description into a... Read more