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Anomaly Detection for CRM Data: A Step-By-Step Guide
Editor’s note: Geeta Shankar and Tuli Nivas are speakers for ODSC West 2023 this October 30th to November 2nd. Be sure to check out their talk, “Anomaly Detection for CRM Production Data,” there! Anomaly detection for CRM (Customer Relationship Management) data is gaining increasing importance. It... Read more
LLMOps vs MLOps: Understanding the Differences
Large language models are all the rage right now, and with that comes the need for better management, organization, and planning. Just as machine learning leads to MLOps, so too have LLMs led to LLMOps. While LLMOps and MLOps have many similarities, such as ensuring data... Read more
What Exactly are Large Language Model Operations (LLMOps)?
Large language models (LLMs) are a powerful new technology with the potential to revolutionize many industries. However, LLMs are also complex and challenging to manage. LLMOps, or Large Language Model Operations, is a new and emerging field that focuses on the operational management of LLMs. What... Read more
Intelligent Document Processing with AWS AI Services and Amazon Bedrock
Companies in sectors like healthcare, finance, legal, retail, and manufacturing frequently handle large numbers of documents as part of their day-to-day operations. These documents often contain vital information that drives timely decision-making, essential for ensuring top-tier customer satisfaction, and reduced customer churn. Traditionally, the extraction of... Read more
The Prompt Optimization Stack
Editor’s note: Mike Taylor is a speaker for ODSC West this October 30th to November 2nd. Be sure to check out his talk, “Prompt Optimization with GPT-4 and Langchain,” there! The difference between the average person using AI and a Prompt Engineer is testing. Most people... Read more
Fine-tuning LLMs on Slack Messages
Editor’s note: Eli Chen is a speaker for ODSC West this October 30th to November 2nd. Be sure to check out his talk, “Fine-tuning LLMs on Slack Messages,” there! Fine-tuning LLMs is super easy, thanks to HuggingFace’s libraries. This tutorial walks you through adapting a pre-trained... Read more
How to Practice Data-Centric AI and Have AI Improve its Own Dataset
Editor’s note: Jonas Mueller is a speaker for ODSC West this October 30th to November 2nd. Be sure to check out his talk, “How to Practice Data-Centric AI and Have AI Improve its Own Dataset,” there! Machine learning models are only as good as the data... Read more
Harnessing LLM Alignment: Making AI More Accessible
Editor’s note: Sinan Ozdemir is a speaker for ODSC West this October 30th to November 2nd. Be sure to check out his talk, “Aligning Open-source LLMs Using Reinforcement Learning from Feedback,” there! Back in 2020, the world was introduced to OpenAI’s GPT-3, a marvel in the... Read more
The Crucial Role of Digital Experimentation and A/B Testing in the AI Landscape
Editor’s note: Alessandro Romano is a speaker for ODSC West this October 30th to November 2nd. Be sure to check out his talk, “The Crucial Role of Digital Experimentation and A/B Testing in the AI Landscape,” there! Collecting a considerable amount of data has become a... Read more
Emerging Threats: Securing Applications in the Age of Language Models 
The incredible capabilities of large language models (LLMs) like ChatGPT make them irresistible to developers seeking to create next-generation apps. But this frenzied adoption risks exposing users to new dangers. LLMs have unique vulnerabilities that most developers don’t grasp. Building secure applications requires understanding these novel... Read more