Graph Maker is a Python library using Llama3 and Mixtral to build Knowledge Graphs from text. The library addresses challenges and has been well-received, with connections to MIT research.
Microsoft unveils GPT-4-based AI for US intelligence agencies, allowing secure analysis and chatbot interactions. The AI model addresses data security concerns, but officials must beware of potential misuse due to AI limitations.
Version control is essential in both software engineering and machine learning, with data and model versioning playing a crucial role. It offers benefits such as traceability, reproducibility, rollback, debugging, and collaboration.
A $10 million bounty has been placed on the arrest of "LockBitSupp," unmasked as Dmitry Yuryevich Khoroshev, the leader of the prolific ransomware group LockBit. Prosecutors reveal Khoroshev extorted $500 million from 2,500 victims, causing billions in damages worldwide.
Discover the power of predicting the future with Time Series Analysis and Forecasting. Learn how to analyze data trends and make accurate predictions using Python and statsmodels.
Meta is exploring Federated Learning with Differential Privacy to enhance user privacy by training ML models on mobile devices, adding noise to prevent data memorization. Challenges include label balancing and slower training, but Meta's new system architecture aims to address these issues, allowing for scalable and efficient model training across millions of devices while maintaining user priv...
Virtual business meetings are here to stay, with 41% expected to be hybrid or virtual by 2024. Automate meeting summaries with AI for efficient focus and productivity.
Veritone, an AI company in California, offers powerful AI solutions for media processing and more. They are enhancing media search capabilities with new AI techniques for improved user experience.
Effective fraud detection strategies using AI are crucial for preventing financial losses in the banking sector. Types of fraud, such as identity theft, transaction fraud, and loan fraud, can be combatted through advanced analytics and real-time monitoring.
Developing Machine Learning models is like baking - small changes can have a big impact. Experiment tracking is crucial for keeping track of inputs and outputs to find the best-performing configuration. Organizing and logging ML experiments helps avoid losing sight of what works and what doesn't.
Model Risk Management (MRM) in finance is crucial for managing risks associated with using machine learning models for decision-making in financial institutions. Weights & Biases can enhance transparency and speed in workflow, reducing the potential for significant financial losses.
Businesses are investing in ML to deliver value, facing challenges in maintaining performance. MLOps applies DevOps principles to ML systems for collaboration, automation, and continuous improvement.
Transfer learning in AI includes one-shot, few-shot, zero-shot, and fine-tuning methods. Techniques like Siamese network and MAML enhance learning efficiency.
Renowned AI researcher Andrej Karpathy proposes modifying ChatGPT for space communication, sparking interest in the field. Karpathy's influential profile and innovative project "llm.c" showcase simplified LLM training processes.
MechE students showcase innovative work in robotics, bioengineering, and sustainable energy. From democratizing design with generative AI to protecting marine life and generating water from air, the future of Mechanical Engineering is limitless.