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Showing posts with label LLMs. Show all posts

Tuesday, August 05, 2025

Steps for training a custom document extraction model on Azure AI

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Given below is a step-by-step guide on how to use bounding boxes to train custom document models in Azure Vision + Document AI : Step 1: Pre...

Friday, July 04, 2025

Ruminating on Continued Pre-Training and Fine-Tuning of LLMs

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In my previous blogpost , we discussed about the differences between RAG and Fine-Tuning. Besides fine-tuning, there is another technique ca...

Thursday, June 20, 2024

Calculating tokens for words

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For LLM applications, we often use embedding models like ada-002 or davinci models. While using these models, we need to often estimate the ...

Friday, October 06, 2023

Defensive measures for LLM prompts

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To prevent abusive prompts and prompt hacking, we need to leverage certain techniques such as Filtering, Post-Prompting, random enclosures, ...

Saturday, May 13, 2023

Ruminating on Prompt Engineering

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There has been a lot of buzz in recent years about the potential of large language models (LLMs) to develop new text forms, translate langua...

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