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15 results for “palsujit”
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I did some experiments with Prompt Compression in a RAG (Retrieval Augmented Generation) pipeline using #LLMLingua framework and trained models and evaluated using Answer Relevancy as defined by the #RAGAS framework. I describe my methods and results here, appreciate any feedback -- https://sujitpal.blogspot.com/2024/07/experiments-with-prompt-compression.html
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I did some experiments with Prompt Compression in a RAG (Retrieval Augmented Generation) pipeline using #LLMLingua framework and trained models and evaluated using Answer Relevancy as defined by the #RAGAS framework. I describe my methods and results here, appreciate any feedback -- https://sujitpal.blogspot.com/2024/07/experiments-with-prompt-compression.html
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I did some experiments with Prompt Compression in a RAG (Retrieval Augmented Generation) pipeline using #LLMLingua framework and trained models and evaluated using Answer Relevancy as defined by the #RAGAS framework. I describe my methods and results here, appreciate any feedback -- https://sujitpal.blogspot.com/2024/07/experiments-with-prompt-compression.html
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I did some experiments with Prompt Compression in a RAG (Retrieval Augmented Generation) pipeline using #LLMLingua framework and trained models and evaluated using Answer Relevancy as defined by the #RAGAS framework. I describe my methods and results here, appreciate any feedback -- https://sujitpal.blogspot.com/2024/07/experiments-with-prompt-compression.html
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I did some experiments with Prompt Compression in a RAG (Retrieval Augmented Generation) pipeline using #LLMLingua framework and trained models and evaluated using Answer Relevancy as defined by the #RAGAS framework. I describe my methods and results here, appreciate any feedback -- https://sujitpal.blogspot.com/2024/07/experiments-with-prompt-compression.html
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Here is a write-up of our project submission for the #GoogleAIHackathon, task was to build a creative app using their #Gemini LLM. We built an LLM (Gemini) based evaluation framework for RAG (Retrieval Augmented Generation) systems optimized with example-driven prompts using #DSPy to generate scores from #RAGAS (-style) metrics. Shoutout to Dave Campbell and Mayank Bhaskar my co-contributors to the project for all their hard work! Links to video and GitHub in post -- https://sujitpal.blogspot.com/2024/05/finetuning-ragas-metrics-using-dspy.html
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Here is a write-up of our project submission for the #GoogleAIHackathon, task was to build a creative app using their #Gemini LLM. We built an LLM (Gemini) based evaluation framework for RAG (Retrieval Augmented Generation) systems optimized with example-driven prompts using #DSPy to generate scores from #RAGAS (-style) metrics. Shoutout to Dave Campbell and Mayank Bhaskar my co-contributors to the project for all their hard work! Links to video and GitHub in post -- https://sujitpal.blogspot.com/2024/05/finetuning-ragas-metrics-using-dspy.html
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Here is a write-up of our project submission for the #GoogleAIHackathon, task was to build a creative app using their #Gemini LLM. We built an LLM (Gemini) based evaluation framework for RAG (Retrieval Augmented Generation) systems optimized with example-driven prompts using #DSPy to generate scores from #RAGAS (-style) metrics. Shoutout to Dave Campbell and Mayank Bhaskar my co-contributors to the project for all their hard work! Links to video and GitHub in post -- https://sujitpal.blogspot.com/2024/05/finetuning-ragas-metrics-using-dspy.html
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Here is a write-up of our project submission for the #GoogleAIHackathon, task was to build a creative app using their #Gemini LLM. We built an LLM (Gemini) based evaluation framework for RAG (Retrieval Augmented Generation) systems optimized with example-driven prompts using #DSPy to generate scores from #RAGAS (-style) metrics. Shoutout to Dave Campbell and Mayank Bhaskar my co-contributors to the project for all their hard work! Links to video and GitHub in post -- https://sujitpal.blogspot.com/2024/05/finetuning-ragas-metrics-using-dspy.html
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Here is a write-up of our project submission for the #GoogleAIHackathon, task was to build a creative app using their #Gemini LLM. We built an LLM (Gemini) based evaluation framework for RAG (Retrieval Augmented Generation) systems optimized with example-driven prompts using #DSPy to generate scores from #RAGAS (-style) metrics. Shoutout to Dave Campbell and Mayank Bhaskar my co-contributors to the project for all their hard work! Links to video and GitHub in post -- https://sujitpal.blogspot.com/2024/05/finetuning-ragas-metrics-using-dspy.html
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Attended The Future of Data Centric AI 2023 (#datacentricAI) conference organized by
@snorkelai, here is my trip report, hope you find it useful -- https://sujitpal.blogspot.com/2023/06/future-of-data-centric-ai-trip-report.html -
Attended The Future of Data Centric AI 2023 (#datacentricAI) conference organized by
@snorkelai, here is my trip report, hope you find it useful -- https://sujitpal.blogspot.com/2023/06/future-of-data-centric-ai-trip-report.html -
Attended The Future of Data Centric AI 2023 (#datacentricAI) conference organized by
@snorkelai, here is my trip report, hope you find it useful -- https://sujitpal.blogspot.com/2023/06/future-of-data-centric-ai-trip-report.html -
Attended The Future of Data Centric AI 2023 (#datacentricAI) conference organized by
@snorkelai, here is my trip report, hope you find it useful -- https://sujitpal.blogspot.com/2023/06/future-of-data-centric-ai-trip-report.html -
Attended The Future of Data Centric AI 2023 (#datacentricAI) conference organized by
@snorkelai, here is my trip report, hope you find it useful -- https://sujitpal.blogspot.com/2023/06/future-of-data-centric-ai-trip-report.html