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Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black box of AI models.

A Blog post by Multiverse Computing on Hugging Face

Transform hours of manual model tuning into an intelligent, guided workflow using the Best Practice Analyser (BPA) in Tabular Editor and Claude AI

Go beyond basics and discover how you can improve tool calling accuracy for AI Agents, using Finetuning in Microsoft Foundry. This video shows how to improve reliable tool calling in AI agents and unpacks the powerful process of model distillation, taking the capabilities of large models and shrinking them into more nimble, cost-effective counterparts. We will guide you step-by-step through synthetic data generation, advanced finetuning methodologies, and practical ways to make agents more accurate. 00:02 Welcome and scenario 03:05 Generating synthetic data 04:36 Model Distillation and finetuning Microsoft Foundry - https://aka.ms/foundry-ft Foundry Finetuning Demos on GitHub - https://aka.ms/ft-demos Bethany Jepchumba, Twitter/X - https://twitter.com/bethanyjep Bethany Jepchumba, LinkedIn - https://www.linkedin.com/in/bethany-jep/ Bethany Jepchumba, GitHub - https://github.com/bethanyjep

Explore how DeepSeek and Qwen's Flash models revolutionize AI with faster, cheaper inference. Discover DeepSeek's efficiency and cost benefits now!

Optimize AI models without sacrificing accuracy with integer quantization

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