Generative AI solutions are revolutionizing industries by understanding natural language, automating processes, and enhancing customer experiences. Amazon Bedrock offers a comprehensive platform for personalized generative AI applications, utilizing prompt engineering techniques to optimize user inputs and improve efficiency.
This article discusses the importance of high-quality data and reducing labeling errors in pose estimation models. It demonstrates how a custom labeling workflow in Amazon SageMaker Ground Truth can streamline the labeling process and minimize errors, ultimately reducing the cost of obtaining accurate pose labels.
Broadcom's recent changes include layoffs, discontinuing perpetually licensed versions of VMware products, and ending partner programs. Now, they are discontinuing the free version of VMware's ESXi hypervisor, impacting home users.
OpenAI is testing a new feature for ChatGPT that allows it to remember details between conversations, enhancing its long-term memory capabilities. This experimental feature is currently available to a limited number of users, aiming to improve the model's context retention beyond a session.
MIT researchers have developed a solution called StreamingLLM that prevents chatbots like ChatGPT from collapsing during long conversations, allowing for efficient AI assistants. By tweaking the key-value cache, the method enables the chatbot to maintain a nonstop conversation, making it 22 times faster than alternative methods.
The article discusses the implementation of the matrix inverse function using the LUP algorithm, with a focus on removing nested helper functions for improved efficiency. It also mentions interesting tradeoffs between using nested functions and straight code.
This article explores the challenge of unobserved confounding in observational studies and the importance of sensitivity analysis. It presents a simple linear method to assess the impact of unobserved confounders on estimates. The results highlight the potential bias in model estimates and the need to consider unobserved confounding when interpreting findings.
Unknown attackers are targeting hundreds of Microsoft Azure accounts, including those of senior executives, in a campaign to steal sensitive data and financial assets from organizations. The attackers are using personalized phishing lures and shared documents to compromise the accounts of individuals with various roles and responsibilities.
Several companies showcased AI-related ads at Super Bowl LVIII, including Microsoft, which highlighted its AI assistant, Copilot, in a commercial emphasizing its ability to solve various problems and empower individuals. The ad features defiant text overlaid on scenes of people overcoming obstacles, with Copilot generating solutions like creating storyboard images and writing code.
Booking.com collaborated with AWS Professional Services to use Amazon SageMaker and modernize their ML infrastructure, reducing wait times for model training and experimentation, integrating essential ML capabilities, and reducing the development cycle for ML models. This improved their search experience and benefited millions of travelers worldwide.
Discover how transformers and topic modeling can help interpret and understand the semantic structures of big data. Explore the operational definitions of topics and the spatial definition of semantics, and see their practical application in a case study.
The article discusses the evolution of GPT models, specifically focusing on GPT-2's improvements over GPT-1, including its larger size and multitask learning capabilities. Understanding the concepts behind GPT-1 is crucial for recognizing the working principles of more advanced models like ChatGPT or GPT-4.
AI surveillance software was used to monitor thousands of people on the London Underground, looking for aggressive behavior, weapons, and unsafe situations. Transport for London tested 11 algorithms, generating over 44,000 alerts, marking the first time AI and live video footage were combined for real-time alerts to staff.
OpenAI CEO Sam Altman is seeking to raise $5 trillion to $7 trillion for AI chip manufacturing to address the scarcity of GPUs for language models like ChatGPT and Microsoft Copilot. Altman is pitching a partnership between OpenAI, investors, chip makers, and power providers to build chip foundries, with OpenAI as a significant customer.
Build a chat application using LangChain, LLMs, and Streamlit to interact with a complex SQL database. Enhance the chatbot's ability to make SQL queries and provide a user-friendly interface with memory features using Streamlit.