Writings on AI, tech, WASH, leadership and more.

As I learn, I write. Here is all of my long-form thoughts on various topics.

A Paradigm Shift in Machine Translation: Leveraging Embeddings as Translation Memory

A transformative concept in machine translation - using embeddings as a translation memory. It explores the creation of the Translation Vector Database, the process of building semantic bridges, the advent of larger context windows in language models, and the implications of these innovations on the future of machine translation.

WASH AI: Reshaping WASH Sector Knowledge

WASH AI is new initiative that uses AI to enhance global WASH sector knowledge, education, and technical support, bridging language gaps and augmenting human capabilities for better decision-making.

AI tools for knowledge: how WASH AI fits in

Many great tools are being built such as Custom GPTs, Perplexity AI and Consensus. WASH AI distinguishes itself in the AI knowledge tool landscape, offering updated, sector-specific insights and inclusive knowledge management, surpassing limitations of traditional AI tools with its user-centric, customizable approach tailored for the Water, Sanitation, and Hygiene sector.

Using AI to Enhancing Knowledge Translation

Large Language Models revolutionize knowledge dissemination, providing tailored insights for professionals, especially in the WASH sector, through advanced information processing. Their effectiveness, however, requires careful, ethical use to ensure data integrity and relevant, reliable knowledge translation.

Improving Q&A systems: The LLM Judge Approaches

The LLM judge technique uses large language models to evaluate AI assistant responses, mimicking human assessments. Applied thoughtfully, it offers a scalable way to ensure AI outputs are aligned with human values, enhancing trust and engagement.

Advancing Machine Translation for Robust and Inclusive Knowledge Sharing

Looking at two recently research papers on Machine Translation, this article synthesizes key advancements in machine translation as applied to Large Language Models (LLMs). Combining insights from cross-lingual supervision with techniques for improving translation faithfulness, we explore the significance of these developments for organizations aiming to democratize knowledge.

Knowledge Platforms - Addressing Bias, Embracing Diversity, and Capturing Tacit Wisdom

This article examines the challenges and opportunities in the humanitarian and development sector's knowledge platforms. Highlighting biases and limitations in conventional knowledge bases, it emphasizes the importance of incorporating diverse perspectives, capturing tacit wisdom, and leveraging AI. The piece also outlines strategies for making knowledge platforms more inclusive, responsive, and locally relevant.

AI is just a tool, or is it?

This opinion piece explores the impact of AI beyond its conventional perception as a tool, focusing on its transformative effect on jobs and education. It calls for a revised educational approach to prepare for an AI-driven future, emphasizing creativity and problem-solving over routine tasks

AI shaping Humanity by Yuval Noah Harari

In an article by The Economist, "Sapiens" author Yuval Noah Harari explores the profound potential impacts of AI on human civilization, touching on themes of storytelling, intimacy, cultural dominance, illusions, and the urgent need for regulation and transparency.

GIS Meets Large Language Models: A New Era of Spatial Analysis

Exploring the integration of Large Language Models (LLMs) into the Geographic Information System (GIS), leading to the development of Autonomous GIS. It discusses the potential of this integration to revolutionize spatial analysis, making it faster, easier, and more accessible.

A Brief on Transformers and Their Evolution

Transformers have revolutionized AI, specifically in Natural Language Processing (NLP). Their adaptability has led to their use in multimodal tasks, far beyond NLP. With further advancements in tooling and accessibility, coupled with the popularization through chatbots, Transformers continue to dominate. Alongside, Diffusion models emerge as a new force in image generation.

Translation Using AI for Enhanced and Accessible Technical Support

AI can be used to translate technical content for users who are not native English speakers, enhancing the accessibility and efficiency of technical support. It uses the example of translating a technical manual from English to Swahili using Transformer models.

The Transformative Impact of Multimodal Models on AI Applications: A Deep Dive into Technical Support

Exploring the transformative impact of multimodal models on AI applications, particularly in technical support. It discusses how these models, which can process and integrate multiple types of data, can provide more comprehensive and intuitive support to users. The post also highlights a case study of the MultiModal-GPT model, which demonstrates the potential of multimodal models in maintaining continuous dialogues with humans and effectively understanding and describing images.

Reducing Costs Associated with LLM Use in AI-Powered Applications

Strategies for reducing costs associated with the use of Large Language Models (LLMs) in AI-powered applications, based on a recent research paper. It introduces the concept of FrugalGPT, a model that optimizes the use of different LLMs to reduce cost and improve accuracy.

Language Models: The Linguistic Maestros of AI

Embark on an exciting journey to understand Language Models, the linguistic masterpieces that revolutionize natural language understanding and generation in AI.