The research team behind QUILT-1M has introduced a groundbreaking solution to the scarcity of comprehensive datasets in histopathology. By leveraging educational histopathology videos on YouTube, they have curated a dataset of 1 million paired image-text samples. The dataset outperforms existing models and has the potential to benefit computer scientists and histopathologists in their research and…
Meta has partnered with Microsoft Bing to launch an AI chatbot across its platforms, including WhatsApp, Messenger, and Instagram. The chatbot, powered by Meta AI, offers features such as answering queries, text generation, and language translation. Additionally, Meta is introducing 28 AI characters for messaging and personalized AI stickers. The company also plans to enhance…
In today’s tech-savvy environment, AI tools are revolutionizing how we approach work, and Scrum is no exception. Integrating AI can streamline tasks, optimize processes, and offer valuable insights. Here are the top five AI tools that every Scrum Master and Agile team should have on their radar: Incorporating these AI tools into your Scrum and…
Here are ten recent standout articles from Towards Data Science – Medium: 1. “New ChatGPT Prompt Engineering Technique: Program Simulation” by Giuseppe Scalamogna explains a prompt-engineering technique that simulates a program to improve the performance of ChatGPT. 2. “How to Program a Neural Network” by Callum Bruce provides a step-by-step guide for coding neural networks…
ReVersion is an AI diffusion-based framework that aims to address the Relation Inversion task from images. It focuses on capturing object relations and allows users to generate images that correspond to specific relationships. The framework incorporates a preposition prior and a relation-steering contrastive learning scheme to improve relation inversion results. The ReVersion Benchmark is also…
Meta announced a range of new generative and interactive AI experiences at its Connect conference. The new AI features focus on driving engagement on Meta’s WhatsApp, Messenger, and Instagram platforms. Highlights include the Meta AI assistant, AI characters based on influencers, stickers and image editing features, and the AI Studio platform for building third-party AIs.…
ChatGPT Vision, with its new voice and image capabilities, offers numerous incredible ways for users to enhance their lives and businesses. Examples include building software by drawing a picture, recreating websites from screenshots, logic reasoning based on image inputs, converting Figma designs into React components, describing images, assisting with homework, and turning whiteboard notes into…
DSPy is a new alternative to language model programming frameworks like LangChain and LlamaIndex. It offers a unique approach to the field and is gaining attention in the LLM community, along with Microsoft’s Semantic Kernel.
GPT-4V, known as GPT-4 with vision, integrates image analysis into large language models (LLMs), expanding their capabilities. GPT-4V completed training in 2022 and is now available for early access. The model combines text and vision capabilities, presenting new opportunities and challenges. OpenAI has evaluated and addressed risks, particularly regarding images of individuals. They continue to…
Companies are hiring creative writers to improve the writing abilities of AI models. AI-authored books lack quality, so companies like Appen and Scale AI are seeking writers to create datasets for training. The need for specific creative writing data arises as AI models struggle with creativity and underserved languages. These jobs offer up to $50…
Researchers from Meta AI and ETH Zurich have introduced a new method called COVE (Chain-of-Verification) to tackle hallucinations in language models. By using verification questions to assess and improve initial responses, they achieved greater accuracy in generating responses. The study shows that this approach offers significant improvements in performance. For more details, refer to the…
User-centric design is essential in AI products to create experiences that feel human. While AI can process data quickly, it cannot understand user frustration nor provide intuitive solutions without user-centric design. Speaking in a language users understand and cultivating trust are crucial. Customization is necessary to cater to individual needs. Overall, the focus should always…
AI in modern product development is more about enhancing user experiences and driving innovation rather than taking over the world. It involves making machines think and learn like humans through mathematics, algorithms, and data. AI enables personalized user experiences, data-driven decision making, continuous improvement, scalability, enhanced security, and collaboration between humans and machines. It holds…