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Recent breakthroughs in AI include new model architectures like Titans and Transformer squared, as well as AI-powered material design. These advances could revolutionize language models and scientific discovery.
Learn how to add custom knowledge to large language models through retrieval augmented generation (RAG) and context window uploads. Discover the pros and cons of different methods for enhancing AI capabilities.
Explore cutting-edge Retrieval Augmented Generation (RAG) techniques to build reliable AI-powered knowledge management systems. Learn how to overcome common challenges and implement advanced strategies for accurate information retrieval.
An in-depth analysis of Llama 3 and Mistral models in a Retrieval-Augmented Generation (RAG) application. This comparison evaluates their performance in answering specific questions about video game awards.
Explore the capabilities of NVIDIA's Jetson Orin Nano, a powerful edge AI computing device. Learn how it handles tasks from driveway monitoring to running large language models.
An examination of ChatGPT's tendency to generate false information when asked about non-existent book pages, highlighting the challenges of AI language models.
OpenAI releases GPT-4 Turbo (GPT-4 V3), showcasing impressive benchmarks in coding, math, and visual reasoning. Sam Altman hints at exciting developments for 2025.
Learn how to fine-tune the Mistral 7B model using MLX to convert natural language questions into SQL queries. This guide covers data preparation, model training, evaluation, and deployment to Hugging Face.
An in-depth look at the evolution of sequence modeling techniques in machine learning, from early autoregressive models to modern Transformer architectures.