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Salesforce proves less is more: xLAM-1B ‘Tiny Giant’ beats bigger AI Models
Salesforce's xLAM-1B 'Tiny Giant' AI model outperforms larger competitors with just 1 billion parameters, revolutionizing on-device AI and challenging industry norms.
The team developed APIGen, an automated pipeline that generates high-quality, diverse, and verifiable datasets for training AI models in function-calling applications. While many companies have been racing to build ever-larger models, Salesforce’s method suggests that smarter data curation can lead to more efficient and effective AI systems. As the industry digests the implications of Salesforce’s achievement, one thing is clear: in the world of AI, David has just proven he can not only compete with Goliath but potentially render him obsolete.
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