2. Tool use Given how easy it is to add new tools (e.g., with MCP servers), the number of tools a user adds to an agent can explode. Too many tools make it easier for the agent to choose the wrong action, making them dumber. They caution against removing tools mid-iteration. Instead, you can force an agent to choose certain tools with response prefilling. Ex: starting your response with <|im_start|>assistant<tool_call>{"name": “browser_ forces the agent to choose a browser. Name your tools so that related tools have the same prefix. Eg: browser tools should start with `browser_`, and command line tools should start with `shell_`
ENTERPRISE AI
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Unified Manufacturing: Smart Integration Reshapes Industrial Factories
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What separates future-ready factories from the rest?
It’s not more software—it’s smarter integration.
Explore how unified manufacturing is reshaping the industrial landscape: https://
buff.ly/2uvgLth #cgi_iiot #IIoT #Industry40 #NextGenManufacturing @lucianilie15 @IIoT_World -
Data Integrity Best Practices for Industrial Time Series Systems
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Time series data drives insights—but only if it’s accurate and reliable.
Discover best practices to maintain data integrity in industrial systems. https://
buff.ly/wbPP6Dg #sponsored #influxdata_iiot #InfluxDB #IndustrialAutomation -
AI Innovation Solving Real Business Problems Effectively
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extremely smart use of AI to actually solve a real business problem. love it
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Heavy Industry Digitalization: Samsara CEO on Tech Challenges
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Please enjoy my interview with Samsara CEO Sanjit Biswas Samsara CEO: Cracking the code to heavy industry’s challenges “These are the industries that have been slowest to digitize, not because they're slow but because they're complex.” Tech companies have tried for years to
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Norway’s $2 Trillion Fund Saves 213,000 Hours Using Claude AI
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Norway's $2 trillion sovereign wealth fund conducted a one-year experiment with AI. They gave Claude full access to their entire investment process. Result: 213,000 hours saved and 20% productivity gain. That's when Tangen (their CEO) made his most radical decision: "It
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OpenAI Medical Copilot Reduces Diagnostic Errors in Real-World Test
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OpenAI’s medical copilot passed a major real-world test
— The Rundown AI (@TheRundownAI) 24 juillet 2025
Deployed across 40K patient visits in Nairobi, it helped clinicians cut diagnostic errors by 16 and treatment errors by 13%
75% of doctors described it as a “substantial” aid in their workpic.twitter.com/boEiogVHrIOpenAI’s medical copilot passed a major real-world test Deployed across 40K patient visits in Nairobi, it helped clinicians cut diagnostic errors by 16 and treatment errors by 13% 75% of doctors described it as a “substantial” aid in their work
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Opening The AI Black Box: Transparency and Trust in Financial AI
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Opening The AI Black Box: Why Financial Leaders Need Transparent, Trustworthy AI
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn http://
ow.ly/Kzmf30sOj5r -
AI Inference: Delivering Real-World ROI Through Production Models
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AI can’t deliver ROI until it’s optimally running in the real world. That’s where AI inference comes in. It’s the process of applying trained models to new data to make predictions, decisions, or generate responses in real time.
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Understanding AI Inference: Deployment to Business Impact
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Want a deeper understanding of AI inference, from real-time deployment to business impact? Read our glossary page https://
nvda.ws/4lVUgVm