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Arguments, architectures, and practical questions about AI in organizations. Explore the writing by topic, or search for a specific question.
83 articles
A New research paper called "Self-Discover: Large Language Models Self-Compose Reasoning Structures" explores the possibilties to enhance problem-solving abilities in Large Language Models (LLMs) by mimicking human cognitive processes. It…
The "Self-Rewarding Language Models" research paper introduces a novel approach to language model training. This method enables iterative improvement through self-alignment by allowing models to generate and evaluate their own…
Mistral AI has developed a new open-source model called Mixtral 8x7B, which uses Sparse Mixture of Experts (SMoE) technology. This model features eight feedforward blocks in each layer for efficient…
Large Language Models (LLMs) have impressive natural language processing capabilities, but they require significant computational resources. Apple's "LLM in a flash" solution overcomes this challenge by using flash memory to…
The field of Natural Language Processing has evolved with the rise of Large Language Models (LLMs). Scaling up LLMs enhances their performance and versatility for various tasks. Techniques like Depth…
The field of artificial intelligence is constantly evolving. Emu2 is a state-of-the-art multimodal model that boasts an impressive 37 billion parameters. It has shown exceptional skill in in-context learning and…
Multimodal Large Language Models (MLLMs) have the ability to process information from different sensory modalities. However, current MLLMs are facing several challenges such as complex integration, scalability issues, high resource…
Transparency plays a crucial role in the development of Large Language Models (LLMs). It promotes ethical AI development, encourages innovation, and maintains scientific integrity. One noteworthy initiative in this regard…
PETALS is a system designed for Large Language Models (LLMs) that enables the distribution of computational load across decentralized, consumer-grade devices in an efficient manner. The system uses fault-tolerant algorithms…
Prompt engineering shapes the instructions, context, examples, and expected output supplied to a generative model. This guide walks through defining a task, crafting and refining prompts, testing representative examples, and…
Full analysis Revised October 18, 2026. Artificial intelligence and machine learning are often discussed together because they...