5 tips for fine-tuning LLMs
Master LLM fine-tuning with expert tips on data quality, model architecture, and bias mitigation. Boost performance and efficiency in AI development....
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4 strategies for AI-driven vulnerability management
Harnessing artificial intelligence to manage vulnerabilities opens the door to efficient threat detection and proactive risk management. Organizations of all sizes ...
A feedback loop alternative to RAG that aligns LLMs with knowledge graph models
Image by Gerd Altmann from Pixabay Discover AI–a YouTube channel run by an unidentified Austrian man who distills and highlights the findings of AI papers in an engagin...
Techniques for automated feature selection: Filter methods and implementation using Python libraries
Feature Selection is a crucial process in feature engineering as part of the Machine Learning life cycle. It focuses on identifying the most impactful features in the gi...
AI safety summit: Affect alignment and labor economics workshops
There are two pillars of human society—affect and intelligence. Just one is principal to being a part of any human group. Though both are required for [social and occup...
What to consider when selecting a learning model
Image by Malachi Witt from Pixabay I had the chance to listen to a talk that Ivan Lee, Founder and CEO of Datasaur, gave during October 2024’s AI Summit here at the Com...
How to accelerate prototyping in manufacturing product design
Discover strategies to accelerate prototyping in manufacturing product design. Learn about AI integration, optimized hardware, 3D printing, and AR/VR technologies for eff...
LLM Chunking, Indexing, Scoring and Agents, in a Nutshell
It is becoming a bit difficult to follow all the new AI, RAG and LLM terminology, with new concepts popping up almost every week. Which ones are important, and here to st...
LLMs: Agenda tips for the AI alignment and safety summits
It should be obvious now that what is termed a marginal improvement in AI models are enormous technological leaps and that guardrails for major AI models are a microcosm ...