CIO
NOVEMBER 19, 2024
From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. Let’s review a case study and see how we can start to realize benefits now.
AWS Machine Learning - AI
APRIL 10, 2025
The introduction of Amazon Nova models represent a significant advancement in the field of AI, offering new opportunities for large language model (LLM) optimization. In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline.
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O'Reilly Media - Data
APRIL 3, 2018
Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.
AWS Machine Learning - AI
APRIL 21, 2025
With this capability, you can now optimize your prompts for several use cases with a single API call or a click of a button on the Amazon Bedrock console. In this blog post, we discuss how Prompt Optimization improves the performance of large language models (LLMs) for intelligent text processing task in Yuewen Group.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.
John Snow Labs
NOVEMBER 8, 2024
Our results indicate that, for specialized healthcare tasks like answering clinical questions or summarizing medical research, these smaller models offer both efficiency and high relevance, positioning them as an effective alternative to larger counterparts within a RAG setup. The prompt is fed into the LLM.
Xebia
MAY 8, 2024
DIY LLM Evaluation, a Case Study of Rhyming in ABBA Schema It’s becoming common knowledge: You should not choose your LLMs based on static benchmarks. Evaluate LLMs on tasks you care about The first lesson is that you should evaluate LLMs on tasks you care about. For this analysis I kept it simple.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.
Advertiser: Data Robot
By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
Advertiser: Data Robot
By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the whitepaper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
Speaker: Conrado Morlan
In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.
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