📌 IdeaWeaver: One CLI to Train, Track, and Deploy Your LLM with Custom Data 📌
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Prashant Lakhera

Prashant Lakhera @lakhera2015

About: 29X Certified, AWS Community Builder, Ex-Redhat, Author, Blogger, YouTuber, RHCA, RHCDS, RHCE, Docker Certified,5X AWS, CCNA, MCP, Certified Jenkins, Terraform Certified, 1X GCP,CKA,CKAD,CKS,KCNA

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Nov 19, 2022

📌 IdeaWeaver: One CLI to Train, Track, and Deploy Your LLM with Custom Data 📌

Publish Date: Jun 19
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Are you looking for a single tool that can handle the entire lifecycle of training a model on your data, track experiments, and register models effortlessly?

Meet IdeaWeaver.
With just a single command, you can:
1️⃣ Train a model using your custom dataset
2️⃣ Automatically track experiments in MLflow, Comet, or DagsHub
3️⃣ Push trained models to registries like Hugging Face Hub, MLflow, Comet, or DagsHub
And we're not stopping there, AWS Bedrock integration is coming soon.

No complex setup. No switching between tools. Just clean CLI-based automation.
👉 Learn more here: https://ideaweaver-ai-code.github.io/ideaweaver-docs/training/train-output/
👉 GitHub repo: https://github.com/ideaweaver-ai-code/ideaweaver

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