AI & RoboticsNews

The TAO of data: How Databricks is optimizing  AI LLM fine-tuning without data labels

Databricks is tackling the challenge of AI model performance by addressing the critical issue of data labeling. While labeled data has long been essential for training AI models, enterprises often face a significant bottleneck—not in technology, but in the lengthy process of collecting, curating, and labeling domain-specific data. This “data labeling tax” forces technical leaders to either…
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AI & RoboticsNews

‘Personalized, unrestricted’ AI lab Nous Research launches first toggle-on reasoning model: DeepHermes-3

AI reasoning models — those that produce “chains-of-thought” (CoT) in text and reflect on their own analysis to try and catch errors midstream before outputting a response — are all the rage now thanks to the likes of DeepSeek and OpenAI’s “o” series. As posted on the Nous Research account on X and in the firm’s Discord channel, this new open reasoning model is called…
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AI & RoboticsNews

AI Agents Are Coming: Decoding Your Personality

When I was a kid there were four AI agents in my life. Their names were Inky, Blinky, Pinky and Clyde and they tried their best to hunt me down. This was the 1980s and the agents were the four colorful ghosts in the iconic arcade game Pac-Man. By today’s standards they…
AI & RoboticsNews

For AI model success, utilize MLops and get the data right

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today! It’s critical to adopt a data-centric mindset and support it with ML operations  Artificial intelligence (AI) in the lab is one thing; in the real world, it’s another. Many AI models fail to yield…
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