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LLM360, A true Open Source LLM

LLM360, A true Open Source LLM

LLM360 introduces true open-source AI with its 7B parameter models, Amber and CrystalCoder, providing full transparency by sharing training datasets, preprocessing code, model configurations, intermediate checkpoints, and evaluation metrics, fostering collaborative and reproducible AI research.

The Synthetic Data Revolution

The Synthetic Data Revolution

This article delves into the emergence of synthetic data in AI, discussing its generation methods, applications across various data types, and its significance in overcoming data scarcity and privacy challenges, ultimately contributing to the pursuit of Artificial General Intelligence (AGI)

MoEs comeback in GenAI with Mixtral

MoEs comeback in GenAI with Mixtral

This article takes a deep dive into Mixture of Experts models, spotlighting Mistral's latest release. Learn how this architecture enhances AI scalability, efficiency, and performance, paving the way for next-gen AI systems that balance resource optimization with powerful capabilities.

RAGs are cool, but what about their privacy?

RAGs are cool, but what about their privacy?

This article explores privacy concerns in Retrieval-Augmented Generation (RAG) applications, highlighting data protection challenges and offering actionable solutions to ensure secure and compliant AI systems while leveraging the benefits of RAG.