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LoRA-derived Techniques for Optimal LLM Fine-tuning
LoRA-variants explained in a beginner-friendly way.
Apr 30
•
Avi Chawla
22
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LoRA-derived Techniques for Optimal LLM Fine-tuning
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Build AI Copilots with Ease Using CopilotKit
A hands-on guide.
Apr 24
•
Avi Chawla
29
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Build AI Copilots with Ease Using CopilotKit
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CopilotKit: Build, Deploy, and Operate AI Copilots with Ease
Integrate GenAI into applications.
Mar 14
•
Avi Chawla
44
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CopilotKit: Build, Deploy, and Operate AI Copilots with Ease
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Augmenting LLMs: Fine-Tuning or RAG?
The trade-offs between fine-tuning and RAG.
Mar 6
•
Avi Chawla
13
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Augmenting LLMs: Fine-Tuning or RAG?
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Full-model Fine-tuning vs. LoRA vs. RAG
A visual summary
Mar 1
•
Avi Chawla
56
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Full-model Fine-tuning vs. LoRA vs. RAG
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Implementing LoRA from Scratch for Fine-tuning LLMs
Understanding the challenges of traditional fine-tuning and addressing them with LoRA.
Feb 26
•
Avi Chawla
39
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Implementing LoRA from Scratch for Fine-tuning LLMs
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Double Descent vs. Bias-Variance Trade-off
A counterintuitive phenomenon while training ML models.
Feb 19
•
Avi Chawla
51
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Double Descent vs. Bias-Variance Trade-off
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A Beginner-friendly and Comprehensive Deep Dive on Vector Databases
Understanding every little detail on vector databases and their utility in LLMs, along with a hands-on demo.
Feb 17
•
Avi Chawla
59
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A Beginner-friendly and Comprehensive Deep Dive on Vector Databases
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