Decision-centric AI: improve the path from evidence to action
Design AI around an owned decision and a confirmed outcome. Use a practical decision canvas, workflow example and measured expansion gates.
From the archive
Ajith
Articles
Neuro-Symbolic AI for Multimodal Reasoning: Foundations, Advances, and Emerging Applications
Neuro-symbolic AI connects learned representations with explicit structures such as rules, graphs, or planners, but the term covers multiple designs. This guide compares representative approaches and applications while examining what…
Mixture of Agents AI: Building Smarter Language Models
Large language models (LLMs) have revolutionized artificial intelligence, particularly in natural language understanding and generation. These models, trained on vast amounts of text data, excel in tasks such as question…
PERL: Efficient Reinforcement Learning for Aligning Large Language Models
Large Language Models (LLMs) like GPT-4, Claude, Gemini, and T5 have achieved remarkable success in natural language processing tasks. However, they can produce biased or inappropriate outputs, raising concerns about…
OneLLM: One Framework to Align All Modalities with Language
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…
PETALS, Running large language models at home in a BitTorrent‑style
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: A Practical Introduction to Working with Generative AI
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…
A Comprehensive Guide to Artificial Intelligence and Machine Learning for Beginners
Full analysis Revised October 18, 2026. Artificial intelligence and machine learning are often discussed together because they...
Getting Started with Ethereum Blockchain Development Part 1
We will walk through the process of setting up a Blockchain development environment in this blog. In...
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