Unhiding Knowledge: Combining AI Tech to Re-Imagine Knowledge Sharing
Exploring how AI technologies can transform knowledge management by unhiding valuable insights from vast data, facilitating sector-wide knowledge and support systems.
Learn about AI and how it can help your work, from basics to expert advice.
Exploring how AI technologies can transform knowledge management by unhiding valuable insights from vast data, facilitating sector-wide knowledge and support systems.
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.
Olivier
Founder, Baobab Tech
AI-driven research explores how curricula shape future thinking skills. Data analysis and AI modeling inform the design of transformative education systems.
Olivier
Founder, Baobab Tech
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.
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.
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.
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.
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
Generative AI brings immense possibilities along with risks. This post explores how organizations in the development and humanitarian sector can thoughtfully apply generative AI to maximize benefits and mitigate harms.
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.
Exploring how AI technologies can transform knowledge management by unhiding valuable insights from vast data, facilitating sector-wide knowledge and support systems.
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.
LongMem framework's potential to break the memory barrier in Large Language Models (LLMs), enhancing their ability to utilize long-form content.
AI tools can enhance the coordination of emergency response by processing unstructured data from meeting notes and conversations, and generating structured data and maps on-the-fly.
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.
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.
AI models and approaches like RAG, SPABERT, GPT-4, and multimodal foundation models can harness geospatial data to enhance decision-making in humanitarian and development contexts.
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.
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.
Discussing MIT professor Jacob Andreas' insights on large language models (LLMs) and their implications for domain-specific Q&A systems. It covers topics such as contextual understanding, in-context learning, factuality and coherence in LLMs, and the future of these models.
Emphasizing the importance of negative data in the humanitarian and development sectors, this article explains the impact of biased information on AI systems. It calls for balanced documentation of successes and failures for a more comprehensive implementation of AI support tools.
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.
Explore the role of entailment in AI and its application in enhancing natural language understanding models, with insights from a recent research paper and implications for organizations leveraging AI.
Processing long text has never been easier with SLED, a simple yet effective approach for understanding long sequences.
DPO: Simplifying the alignment of AI models with human preferences.
Explore the top challenges and opportunities non-profit organizations face in adopting AI tools to enhance their impact in the humanitarian and development sectors.
AI-driven research explores how curricula shape future thinking skills. Data analysis and AI modeling inform the design of transformative education systems.
Unlock the power of AI with Zero-Shot Learning for efficient text and data analysis from reports, enabling precise predictions and swift decision-making.
Understand the key differences between Base and Instruction Tuned Language Learning Models to harness the true potential of AI for your business.
Explore the power of Reinforcement Learning from Human Feedback (RLHF) in transforming data into knowledge, with practical examples in text summarization.
Discover how to extract valuable insights from support conversations using methods like Topic Modeling, Text Classification, and more.
Deep dive into the workings of state-of-the-art Transformer-based models like Google’s BERT and OpenAI’s GPT, revolutionizing translation capabilities.
Trace the evolution of AI in translation, from rule-based systems to neural machine translation, driving advancements in language conversion.
Explore how AI tackles the challenges of translation, including context, idioms, and cultural nuances, ensuring accurate and culturally sensitive results.
Explore the future possibilities of AI in translation, along with the challenges it needs to overcome to achieve accurate and seamless language conversion.
Unveil the transformative role of AI in language translation, bridging the gap and breaking down language barriers.
Discover how AI powers information retrieval and question answering, providing personalized and accurate answers to user queries.
Delve into the world of topic modeling and semantic analysis, uncovering how AI comprehends and extracts meaning from text.
Explore how AI helps detect sentiment and emotions in text, providing valuable insights into user feedback and social media data.
Harness the power of AI for text summarization, distilling key information without the overwhelm of jargon and lengthy text.
Uncover how AI contributes to knowledge synthesis, unlocking the potential to turn vast amounts of information into valuable insights.
Discover how AI seamlessly integrates with cloud services, unlocking powerful capabilities for app development.
Explore how AI powers voice recognition and natural language understanding, transforming the way users interact with modern applications.
Learn how AI revolutionizes user experience in apps through personalization and intelligent recommendations.
Get acquainted with popular AI frameworks that empower developers to build cutting-edge applications with ease and efficiency.
Discover how AI can be seamlessly integrated into mobile and web applications, ushering in a new era of intelligent and personalized user experiences.
Explore how GANs revolutionize data analysis by generating synthetic data, augmenting datasets, and facilitating robust machine learning models.
Uncover the challenges involved in training GANs and explore innovative solutions that overcome issues like mode collapse and instability.
Explore the diverse use-cases of GANs across various industries, showcasing their versatility and impact.
Dive into the intricate architecture of GANs, comprising the Generator and Discriminator, and their interplay in generating high-quality synthetic data.
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.
Discover the fascinating world of Generative Adversarial Networks (GANs) and their artistic capabilities in AI.
Unleash the creative potential of GPT (Generative Pretrained Transformer) models, understanding how they generate human-like language and revolutionize AI.
Explore how Language Models play a crucial role in data analysis, enabling automatic text processing and extracting meaningful insights.
Delve into the architecture and inner workings of Transformer-based Language Models, the state-of-the-art models driving modern AI advancements.
Discover the foundations of basic Language Models such as n-gram, Hidden Markov, and probabilistic models, and their practical applications.
Embark on an exciting journey to understand Language Models, the linguistic masterpieces that revolutionize natural language understanding and generation in AI.
Unlock the power of AI in data exploration and visualization, revealing meaningful patterns and trends through interactive and compelling visual representations.
Gain insights into the critical steps of data preprocessing in AI, encompassing data cleaning, transformation, and normalization techniques.
Explore how AI enables predictive analysis, providing a glimpse into the future by leveraging historical data and advanced algorithms.
Explore the world of AI algorithms used in data analysis, exploring their innovative applications and the impact they have on extracting insights.
Discover the pivotal role of AI in data analysis and how it empowers businesses to uncover hidden patterns and make data-driven decisions.
Gain a deep understanding of different data types in the context of data analysis, including quantitative, qualitative, structured, and unstructured data.
Embark on a comprehensive journey through the process of data analysis, covering data collection, preprocessing, exploration, analysis, and interpretation.
Master the essential principles of data analysis, equipping yourself with the fundamental skills to extract valuable insights from raw data.
Unravel the complexities of AI as we break down its main components: Machine Learning, Deep Learning, and Neural Networks.
Explore the world of AI with an in-depth look at Narrow AI, General AI, and Superintelligent AI, and understand their unique characteristics.
Discover the history and significance of Artificial Intelligence (AI) as we delve into its development and transformative impact.