- Sun. Nov 24th, 2024
Latest Post
Transforming Database Access: The LLM-based Text-to-SQL Approach
Current methodologies for Text-to-SQL primarily rely on deep learning models, particularly Sequence-to-Sequence (Seq2Seq) models, which have become mainstream due to their ability to map natural language input directly to SQL…
Tabnine Unveils Second Generation Protected LLM
Performance rivals leading competitors but LLM is trained on permissively licensed code, eliminating tradeoffs between performance and privacy Tabnine, the originators of the AI code assistant category, today announced the…
Grid Dynamics Introduces AI-Powered Data Observability Starter Kit
Key Takeaways: The AI-powered Data Observability Starter Kit from Grid Dynamics helps clients ensure data quality, enabling them to develop AI solutions more rapidly and maintain operational integrity. The capabilities…
OpsVeda’s Copilot Juni Is Now Available On The Microsoft Teams Store
Juni generates intelligent responses to time critical operations execution questions, and augments them with specific data and drill-down OpsVeda, the leading provider of Operations Command Center (OCC) today announced that Juni,…
LMMS-EVAL: A Unified and Standardized Multimodal AI Benchmark Framework for Transparent and Reproducible Evaluations
Fundamental Large Language Models (LLMs) such as GPT-4, Gemini, and Claude have demonstrated notable capabilities, matching or exceeding human performance. In this context, benchmarks become difficult but necessary tools for…
EuroCropsML: An Analysis-Ready Remote Sensing Machine Learning Dataset for Time Series Crop Type Classification of Agricultural Parcels in Europe
Remote sensing is a crucial field utilizing satellite and aerial sensor technologies to detect and classify objects on Earth, playing a significant role in environmental monitoring, agricultural management, and natural…
Neurophet to launch ‘Neurophet AQUA AD’ at AAIC 2024
Demonstrates Neurophet AQUA AD for AD treatments such as Leqembi and Kisunla Introduces updated version of Neurophet SCALE PET with centiloid scale feature Neurophet, an artificial intelligence (AI) solution company…
A New AI Study from MIT Shows Someone’s Beliefs about an LLM Play a Significant Role in the Model’s Performance and are Important for How It is Deployed
The mismatch between human expectations of AI capabilities and the actual performance of AI systems does not allow users to effectively utilize LLMs. Incorrect assumptions about AI capabilities can lead…
This AI Paper from UNC-Chapel Hill Introduces the System-1.x Planner: A Hybrid Framework for Efficient and Accurate Long-Horizon Planning with Language Models
A significant challenge in AI research is improving the efficiency and accuracy of language models for long-horizon planning problems. Traditional methods either lack the speed needed for real-time applications or…
Imposter.AI: Unveiling Adversarial Attack Strategies to Expose Vulnerabilities in Advanced Large Language Models
Large Language Models (LLMs) excel in generating human-like text, offering a plethora of applications from customer service automation to content creation. However, this immense potential comes with significant risks. LLMs…