“Don’t believe everything you get from ChatGPT“ – Abraham Lincoln Let’s talk about hallucinations – those, in the context of LLMs, mean generating plausible-looking but false or misleading information. I sometimes wonder how much of their bad reputation got stuck with us because first impressions are the most lasting. Initially, I thought that once people…
Diffusion models are closely linked to imitation learning because they generate samples by gradually refining random noise into meaningful data. This process is guided by behavioral cloning, a common imitation learning approach where the model learns to copy an expert’s actions step by step. For diffusion models, the predefined process transforms noise into a final…
Drug-induced toxicity is a major challenge in drug development, contributing significantly to the failure of clinical trials. While efficacy issues account for most failures, safety concerns are the second leading cause, at 24%. Toxicities can affect various organ systems, including the heart, liver, kidneys, and lungs, and even approved drugs may face withdrawal due to…
The ongoing advancement in artificial intelligence highlights a persistent challenge: balancing model size, efficiency, and performance. Larger models often deliver superior capabilities but require extensive computational resources, which can limit accessibility and practicality. For organizations and individuals without access to high-end infrastructure, deploying multimodal AI models that process diverse data types, such as text and…
Language models (LMs) are advancing as tools for solving problems and as creators of synthetic data, playing a crucial role in enhancing AI capabilities. Synthetic data complements or replaces traditional manual annotation, offering scalable solutions for training models in domains such as mathematics, coding, and instruction-following. The ability of LMs to generate high-quality datasets ensures…
Vision-Language Models (VLMs) allow machines to understand and reason about the visual world through natural language. These models have applications in image captioning, visual question answering, and multimodal reasoning. However, most models are designed and trained predominantly for high-resource languages, leaving substantial gaps in accessibility and usability for speakers of low-resource languages. This gap highlights…
Since the Industrial Revolution, burning fossil fuels and changes in land use, especially deforestation, have driven the rise in atmospheric carbon dioxide (CO2). While terrestrial vegetation and oceans serve as natural carbon sinks, absorbing some of this CO2, emissions have consistently outpaced their annual capacity. This imbalance has continuously increased atmospheric CO2 concentrations, fueling global…
Google AI Research introduces Gemini 2.0 Flash, the latest iteration of its Gemini AI model. This release focuses on performance improvements, notably a significant increase in speed and expanded multimodal functionality. A key development in Gemini 2.0 Flash is its enhanced processing speed. Google reports that the new model operates at twice the speed of…