Training
New method efficiently safeguards sensitive AI training data
Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models — but they often make those models less accurate. MIT researchers recently developed a framework, based on a new privacy metric called PAC Privacy, that could…
Salesforce AI Released APIGen-MT and xLAM-2-fc-r Model Series: Advancing Multi-Turn Agent Training with Verified Data Pipelines and Scalable LLM Architectures
AI agents quickly become core components in handling complex human interactions, particularly in business environments where conversations span multiple turns and involve task execution, information extraction, and adherence to specific procedural rules. Unlike traditional chatbots that handle single-turn questions, these agents must hold context over several dialogue exchanges while integrating external data and tool usage….
New training approach could help AI agents perform better in uncertain conditions
A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink or take out the trash when deployed in a user’s kitchen, since this new environment differs from its training space. To avoid this, engineers often try to match the simulated training environment as closely as possible with…
Nearly 80% of Training Datasets May Be a Legal Hazard for Enterprise AI
A recent paper from LG AI Research suggests that supposedly ‘open’ datasets used for training AI models may be offering a false sense of security – finding that nearly four out of five AI datasets labeled as ‘commercially usable’ actually contain hidden legal risks. Such risks range from the inclusion of undisclosed copyrighted material to…
This AI Paper from Menlo Research Introduces AlphaMaze: A Two-Stage Training Framework for Enhancing Spatial Reasoning in Large Language Models
Artificial intelligence continues to advance in natural language processing but still faces challenges in spatial reasoning tasks. Visual-spatial reasoning is fundamental for robotics, autonomous navigation, and interactive problem-solving applications. AI systems must effectively interpret structured environments and execute sequential decisions to function in these domains. While traditional maze-solving algorithms, such as depth-first search and A*,…
Breaking the data bottleneck: Salesforce’s ProVision speeds multimodal AI training with image scene graphs
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As enterprises around the world double down on their AI projects, the availability of high-quality training data has become a major bottleneck. While the public web has largely been exhausted as a data source, major players…
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The best Garmin watches for training and everyday life
Few brands are as synonymous with outdoor sports as Garmin. You’ll find these fitness trackers and smartwatches on dozens of wrists at any 5K, marathon, or Ironman. You’ll also find Garmin devotees among divers, thru-hikers, golfers, kiteboarders — you name it. But these devices aren’t just for athletes. The company’s made significant strides in its…
Monetizing Research for AI Training: The Risks and Best Practices
As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs). While this development is creating a new revenue stream for publishers and empowering generative AI for scientific discoveries, it…