Recently, there has been remarkable performance on clinical question-answer (QA) tasks by large language models (LLMs) like Med-PaLM 2 and GPT-4. For example, Med-PaLM 2 produced answers to consumer health questions that were competitive with human doctors, and a GPT-4-based system achieved 90.2% on the MedQA task. But these models have a lot of problems.… →
In today’s era, learning ChatGPT is essential for mastering the capabilities of large language models in various fields. With its potential to enhance productivity, foster creativity, and automate tasks, understanding ChatGPT opens up avenues for innovation and problem-solving. Thus, acquiring ChatGPT skills empowers individuals to navigate the evolving landscape of artificial intelligence and its applications.… →
The rise of machine learning has had advancements in many fields, including the arts and media. One such advancement is the development of text-to-image (T2I) generative networks, which can create detailed images from textual descriptions. These networks offer exciting opportunities for creators but also pose risks, such as the potential for generating harmful content. Currently,… →
The Graph Mining team within Google Research has introduced TeraHAC to address the challenge of clustering extremely large datasets with hundreds of billions of data points, primarily focusing on trillion-edge graphs used commonly in tasks like prediction and information retrieval. The graph clustering algorithms enable the merging of similar items into groups for a better… →
CONCLUSION: BLI is more effective than WLI in the detection and diagnosis of cardia polyps, and magnifying endoscopy with BLI may help diagnose such lesions. →
Multimodal language models represent an emerging field in artificial intelligence that aims to enhance machine understanding of text and images. These models integrate visual and textual information to interpret and reason through complex data. Their capabilities span beyond simple text comprehension, pushing artificial intelligence toward more sophisticated realms where machine learning interacts seamlessly with the… →
Natural language processing (NLP) focuses on enabling computers to understand and generate human language, making interactions more intuitive and efficient. Recent developments in this field have significantly impacted machine translation, chatbots, and automated text analysis. The need for machines to comprehend large amounts of text and provide accurate responses has led to the development of… →
Contrastive learning typically matches pairs of related views among a number of unrelated negative views. Views can be generated (e.g. by augmentations) or be observed. We investigate matching when there are more than two related views which we call poly-view tasks, and derive new representation learning objectives using information maximization and sufficient statistics. We show… →
Artificial Intelligence (AI) is changing the world quickly as several nations and international organizations have adopted frameworks to direct the development, application, and governance of AI. Numerous initiatives are influencing the ethical use of AI to prioritize human rights and innovation. Here are some of the top AI governance laws and frameworks. 1. EU AI… →
Large Language Models (LLMs) often provide confident answers, raising concerns about their reliability, especially for factual questions. Despite widespread hallucination in LLM-generated content, no established method to assess response trustworthiness exists. Users lack a “trustworthiness score” to determine response reliability without further research or verification. The aim is for LLMs to yield predominantly high trust… →