fbpx
May 2024 Top LLM & Generative AI News, Research, & Open-Source Tools
Every month, there are countless updates in the world of large language models. Between new tools being announced, updates to existing ones, and funding rounds for growing companies, there’s plenty going on in the space. Generative AI news, apps, chatbots, LLMs, frameworks, and other projects are... Read more
Podcast: Training and Deploying Open-Source LLMs with Dr. Jon Krohn
Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of... Read more
How to Make the Most Out of LLM Production Data: Simulated User Feedback
The world of LLM app development is always on the move — new tricks, models, and apps pop up every week. As tech gets better, what users expect keeps ramping up. Staying ahead in this game is key to making sure it’s the one users keep... Read more
ODSC East 2024 Keynote: Carolyn Rosé on Setting Up Text Processing Models for Success
With the challenges of immense volumes of textual data today, the field of  Natural Language Processing (NLP) is rapidly evolving.  At the core of this challenge lies the perennial tension between the need for intricate knowledge engineering and the drive to generate actionable insights with minimal... Read more
Podcast: DBRX and Open Source Mixture of Experts LLMs with Hagay Lupesko
Learn about cutting-edge developments in AI and Data Science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of... Read more
Podcast: The Shifting LLM Landscape with John Dickerson
Learn about cutting-edge developments in AI and Data Science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of... Read more
The Top LLMs and AI Tools in 2024 So Far
With 2024 surging along, the world of AI and the landscape being created by large language models continues to evolve in a dynamic manner. This is introducing an array of powerful new tools that are shaping the way multitudes of professionals in a diverse range of... Read more
A Practical Guide to RAG Pipeline Evaluation (Part 2: Generation)
In Part 1 of this Guide, we discussed the motivation to set up proper evaluation for RAG pipelines and how to use quantitative metrics to drive your development. We took a close look at Retrieval evaluation and concluded that Ground-truth-based deterministic metrics (precision, recall and rank-aware metrics) can provide an accurate... Read more
A Practical Guide to RAG Pipeline Evaluation (Part 1: Retrieval)
Retrieval-Augmented Generation, or RAG, has come a long way since the FAIR paper first introduced the concept in 2020. Over the past year, RAG went from being perceived as a hack to now becoming the predominant approach to providing LLMs with relevant and up-to-date information. We have since seen... Read more
4 Major Applications of Retrieval Augmented Generation to Use Today
Retrieval Augmented Generation or RAG for short is a state-of-the-art natural language generation technique that can combine retrieval-based methods with generative models to produce high-quality, informative text. Currently, it’s all the rage due to the quality of content being produced. But does it mean that RAG... Read more