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diff --git a/blog.xml b/blog.xml index 69970cdb..b67b1bb5 100644 --- a/blog.xml +++ b/blog.xml @@ -377,9 +377,9 @@

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This talk is not generated :D
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diff --git a/posts/2022/2022-05-01-audiocnndemo.html b/posts/2022/2022-05-01-audiocnndemo.html index 9cee1913..d1115863 100644 --- a/posts/2022/2022-05-01-audiocnndemo.html +++ b/posts/2022/2022-05-01-audiocnndemo.html @@ -1006,7 +1006,7 @@

Inference function

Conclusion

We trained a ML model which can identify with 54.4% accuracy to classify in a music file which genre it is. It’s not so bad for a baseline model. Dien Hoa Truong has shared some techniques which he learned during Kaggle competition with music genres.

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Thanks for reading :pray:

diff --git a/posts/2022/2022-07-26-wandbbug.html b/posts/2022/2022-07-26-wandbbug.html index 14d84675..c8cb17f5 100644 --- a/posts/2022/2022-07-26-wandbbug.html +++ b/posts/2022/2022-07-26-wandbbug.html @@ -277,9 +277,9 @@

A strange bug when using fastai library with Weights & Bia )

Hence I learned this valuable lesson, which fixed my bug in inferencing code for huggingface spaces which I was creating.

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Zach Mueller also confirmed this is the case.

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diff --git a/posts/2023/fossunited/kochi.html b/posts/2023/fossunited/kochi.html index b6234b2d..0b2d7fe3 100644 --- a/posts/2023/fossunited/kochi.html +++ b/posts/2023/fossunited/kochi.html @@ -233,7 +233,7 @@

Photos

This talk is not generated :D
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diff --git a/posts/2023/gpt4/index.html b/posts/2023/gpt4/index.html index 453297e1..b151b475 100644 --- a/posts/2023/gpt4/index.html +++ b/posts/2023/gpt4/index.html @@ -220,19 +220,19 @@

Roamaround.ai build on top of ChatGPT was being used. The final nail was last Sunday, when my grandfather called me to read about ChatGPT article in news.

I have seen people get hyped up about advances in ML. Yet I have never heard about the new technology being discussed by any of my family member like this. Hamel Hussein put this really well in his tweet about what is different in this wave of ML advances.

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Release of GPT-4

The GPT-4 model was released by OpenAI today IST. It’s been a hectic week already TBH, with so many releases already.

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The initial reaction to this model has been awesome, and lot of people have been reacting about this.

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You can read more about this release in below resources:

Research document

Product details

Check out the summary of what was highlights of GPT-4 and it’s developer livestream in this tweet thread by FSDL.

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How can we try GPT-4 now?

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Is BingGPT r

Which is heavier, two pounds of brick or one pound of feathers?

GPT-4 seems to give the correct answer at time of writing.

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Bing-GPT seems to give wrong answer.

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Chat-GPT seems to now give correct answer, it was previously giving wrong answer.

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Charles seems to have come with an explaination to this problem, at the time I was writing this article.

“GPT-4” is really a series of models, and the one live in chat now is likely the 0314 checkpoint available via the API. BingChat can’t’ve launched with that checkpoint and likely has branched off in the intervening weeks.”

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diff --git a/posts/2023/malayalam_whisper_benchmarking/index.html b/posts/2023/malayalam_whisper_benchmarking/index.html index 193b5c39..10d8b108 100644 --- a/posts/2023/malayalam_whisper_benchmarking/index.html +++ b/posts/2023/malayalam_whisper_benchmarking/index.html @@ -330,7 +330,7 @@

What is fine tuning?

Fine tuning is still relevant

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Why try fine-tuning in Whisper?

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I wanted t

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Results on Benchmarking in Malayalam

diff --git a/posts/2023/pycon_india2023_talk/index.html b/posts/2023/pycon_india2023_talk/index.html index 440afd87..19ee815f 100644 --- a/posts/2023/pycon_india2023_talk/index.html +++ b/posts/2023/pycon_india2023_talk/index.html @@ -220,9 +220,9 @@

Pictures

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diff --git a/search.json b/search.json index d61fbc98..e8c35090 100644 --- a/search.json +++ b/search.json @@ -1631,25 +1631,53 @@ "text": "Abstract of paper\n\nWe also train IndicWhisper models by fine-tuning the Whisper models on publicly available training datasets across 12 Indian languages totalling to 10.7K hours.\nWe show that IndicWhisper significantly improves on considered ASR systems on the Vistaar benchmark.\nIndeed, IndicWhisper has the lowest WER in 39 out of the 59 benchmarks, with an average reduction of 4.1 WER.\nWe open-source all datasets, code and models : https://github.com/AI4Bharat/vistaar" }, { - "objectID": "talks/ai4bharat_paper_reading/index.html#interspeech-conference", - "href": "talks/ai4bharat_paper_reading/index.html#interspeech-conference", + "objectID": "talks/ai4bharat_paper_reading/index.html#interspeech-2023-conference", + "href": "talks/ai4bharat_paper_reading/index.html#interspeech-2023-conference", "title": "Vistaar - Diverse Benchmarks and Training Sets for Indian Language ASR", - "section": "Interspeech conference", - "text": "Interspeech conference\n\nSelected for this." + "section": "Interspeech 2023 conference", + "text": "Interspeech 2023 conference" }, { "objectID": "talks/ai4bharat_paper_reading/index.html#authors-of-paper", "href": "talks/ai4bharat_paper_reading/index.html#authors-of-paper", "title": "Vistaar - Diverse Benchmarks and Training Sets for Indian Language ASR", "section": "Authors of paper", - "text": "Authors of paper\n\nKaushal Santosh Bhogale (PHD @ IIT Madras)\nSai Sundaresan (BTECH @ IIT Kharagpur)\nAbhigyan Raman (Founding Engineer @ Sarvam.ai)\nTahir Javed (PHD @ IIT Madras)\nMitesh M. Khapra (Professor @ IIT Madras)\nPratyush Kumar (Founder @ Sarvam.ai)" + "text": "Authors of paper\n\nKaushal Santosh Bhogale (PHD Scholar @ IIT Madras)\nSai Sundaresan (BTECH Student @ IIT Kharagpur)\nAbhigyan Raman (Founding Engineer @ Sarvam.ai)\nTahir Javed (PHD Scholar @ IIT Madras)\nMitesh M. Khapra (Professor @ IIT Madras)\nPratyush Kumar (Co-founder @ Sarvam.ai)" }, { "objectID": "talks/ai4bharat_paper_reading/index.html#main-stuff-in-this-paper", "href": "talks/ai4bharat_paper_reading/index.html#main-stuff-in-this-paper", "title": "Vistaar - Diverse Benchmarks and Training Sets for Indian Language ASR", "section": "Main stuff in this paper", - "text": "Main stuff in this paper\nVistaar Dataset for:\n\nTraining\nBenchmarking\n\n\n\n\n@kurianbenoy || You can access slides => kurianbenoy.com/talks/ai4bharat_paper_reading/index.html" + "text": "Main stuff in this paper\nVistaar Dataset for:\n\nTraining\nBenchmarking" + }, + { + "objectID": "talks/ai4bharat_paper_reading/index.html#vistaar-dataset", + "href": "talks/ai4bharat_paper_reading/index.html#vistaar-dataset", + "title": "Vistaar - Diverse Benchmarks and Training Sets for Indian Language ASR", + "section": "Vistaar Dataset", + "text": "Vistaar Dataset" + }, + { + "objectID": "talks/ai4bharat_paper_reading/index.html#vistaar-dataset-1", + "href": "talks/ai4bharat_paper_reading/index.html#vistaar-dataset-1", + "title": "Vistaar - Diverse Benchmarks and Training Sets for Indian Language ASR", + "section": "Vistaar Dataset 1", + "text": "Vistaar Dataset 1" + }, + { + "objectID": "talks/ai4bharat_paper_reading/index.html#indic-whisper", + "href": "talks/ai4bharat_paper_reading/index.html#indic-whisper", + "title": "Vistaar - Diverse Benchmarks and Training Sets for Indian Language ASR", + "section": "Indic Whisper", + "text": "Indic Whisper" + }, + { + "objectID": "talks/ai4bharat_paper_reading/index.html#indic-whisper-1", + "href": "talks/ai4bharat_paper_reading/index.html#indic-whisper-1", + "title": "Vistaar - Diverse Benchmarks and Training Sets for Indian Language ASR", + "section": "Indic Whisper", + "text": "Indic Whisper\n\n\n\n\n@kurianbenoy || You can access slides => kurianbenoy.com/talks/ai4bharat_paper_reading/index.html" }, { "objectID": "talks.html", diff --git a/sitemap.xml b/sitemap.xml index 7aadf8ac..51cd52a2 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -2,598 +2,598 @@ https://kurianbenoy.com/talks/delft-fastai/index.html - 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diff --git a/slides.xml b/slides.xml index d329b12d..05004ff8 100644 --- a/slides.xml +++ b/slides.xml @@ -93,7 +93,7 @@ https://kurianbenoy.com/talks/proposals/pyconind.html https://kurianbenoy.com/talks/proposals/pyconind.html - Thu, 25 Apr 2024 16:47:59 GMT + Fri, 26 Apr 2024 03:59:11 GMT @@ -101,7 +101,7 @@ https://kurianbenoy.com/talks/lt_talk_idea/ https://kurianbenoy.com/talks/lt_talk_idea/ - Thu, 25 Apr 2024 16:47:59 GMT + Fri, 26 Apr 2024 03:59:11 GMT diff --git a/talks/ai4bharat_paper_reading/dataset_info.png b/talks/ai4bharat_paper_reading/dataset_info.png new file mode 100644 index 00000000..6cf35b14 Binary files /dev/null and b/talks/ai4bharat_paper_reading/dataset_info.png differ diff --git a/talks/ai4bharat_paper_reading/dataset_table1.png b/talks/ai4bharat_paper_reading/dataset_table1.png new file mode 100644 index 00000000..8df76b00 Binary files /dev/null and b/talks/ai4bharat_paper_reading/dataset_table1.png differ diff --git a/talks/ai4bharat_paper_reading/index.html b/talks/ai4bharat_paper_reading/index.html index 08e2c359..7b560f92 100644 --- a/talks/ai4bharat_paper_reading/index.html +++ b/talks/ai4bharat_paper_reading/index.html @@ -385,21 +385,19 @@

Abstract of paper

  • We open-source all datasets, code and models : https://github.com/AI4Bharat/vistaar

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    Interspeech conference

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    • Selected for this.
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    Interspeech 2023 conference

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    Authors of paper

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    • Kaushal Santosh Bhogale (PHD @ IIT Madras)
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    • Sai Sundaresan (BTECH @ IIT Kharagpur)
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    • Kaushal Santosh Bhogale (PHD Scholar @ IIT Madras)
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    • Sai Sundaresan (BTECH Student @ IIT Kharagpur)
    • Abhigyan Raman (Founding Engineer @ Sarvam.ai)
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    • Tahir Javed (PHD @ IIT Madras)
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    • Tahir Javed (PHD Scholar @ IIT Madras)
    • Mitesh M. Khapra (Professor @ IIT Madras)
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    • Pratyush Kumar (Founder @ Sarvam.ai)
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    • Pratyush Kumar (Co-founder @ Sarvam.ai)
    @@ -409,8 +407,24 @@

    Main stuff in this paper

  • Training
  • Benchmarking
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    Vistaar Dataset

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    Vistaar Dataset 1

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    Indic Whisper

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    Indic Whisper

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    I wanted to build something new

    Time for a new adventure

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    Benchmarked models

    diff --git a/talks/foss-united/kochi.html b/talks/foss-united/kochi.html index 6a23d850..af40b0a0 100644 --- a/talks/foss-united/kochi.html +++ b/talks/foss-united/kochi.html @@ -559,7 +559,7 @@

    What is fine tuning?

    Picture from fast.lesson covering steps in finetuning a text classifier model

    Fine tuning is still relevant

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    What are steps for fine-tuning Whisper?

    @@ -846,11 +846,11 @@

    CER in Common Voice dataset

    Character Error Rate in Common Voice-9 test split

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    Results on benechmarking in Malayalam Speech Corpus dataset

    diff --git a/talks/fossasia2023.html b/talks/fossasia2023.html index 65e6b042..6c3c6396 100644 --- a/talks/fossasia2023.html +++ b/talks/fossasia2023.html @@ -509,7 +509,7 @@

    What is fine tuning?

    Picture from fast.lesson covering steps in finetuning a text classifier model

    Fine tuning is still relevant

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    Why try fine-tuning in Whisper?

    @@ -593,11 +593,11 @@

    I wanted to build something new

    Time for a new adventure

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    Results on Benchmarking in Malayalam

    diff --git a/talks/iiit-kottayam-summit/index.html b/talks/iiit-kottayam-summit/index.html index c3aa67d3..8893226f 100644 --- a/talks/iiit-kottayam-summit/index.html +++ b/talks/iiit-kottayam-summit/index.html @@ -478,11 +478,11 @@

    CER in Common Voice dataset

    Character Error Rate in Common Voice-9 test split

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    Results on benechmarking in Malayalam Speech Corpus dataset

    diff --git a/talks/mec/debutsav.html b/talks/mec/debutsav.html index d94c01ca..6aa342a6 100644 --- a/talks/mec/debutsav.html +++ b/talks/mec/debutsav.html @@ -606,7 +606,7 @@

    What is fine tuning?

    Picture from fast.lesson covering steps in finetuning a text classifier model

    Fine tuning is still relevant

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    +

    What are steps for fine-tuning Whisper?

    @@ -739,11 +739,11 @@

    CER in Common Voice dataset

    Character Error Rate in Common Voice-9 test split

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    Results on benechmarking in Malayalam Speech Corpus dataset

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    🤗 spaces

    Trying GPT in Malayalam

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    Trying GPT in Malayalam

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    Asking Questions in Malayalam to GPT-4

    diff --git a/talks/proposals/pyconind.html b/talks/proposals/pyconind.html index 22577655..81e7f578 100644 --- a/talks/proposals/pyconind.html +++ b/talks/proposals/pyconind.html @@ -562,7 +562,7 @@

    What is fine tuning?

    Picture from fast.lesson covering steps in finetuning a text classifier model

    Fine tuning is still relevant

    -

    +

    What are steps for fine-tuning Whisper?

    @@ -849,11 +849,11 @@

    CER in Common Voice dataset

    Character Error Rate in Common Voice-9 test split

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    Results on benechmarking in Malayalam Speech Corpus dataset

    diff --git a/talks/pyconindia-2023/pyconind.html b/talks/pyconindia-2023/pyconind.html index 5d2592da..7e7dca54 100644 --- a/talks/pyconindia-2023/pyconind.html +++ b/talks/pyconindia-2023/pyconind.html @@ -562,7 +562,7 @@

    What is fine tuning?

    Picture from fast.lesson covering steps in finetuning a text classifier model

    Fine tuning is still relevant

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    What are steps for fine-tuning Whisper?

    @@ -857,11 +857,11 @@

    CER in Common Voice dataset

    Character Error Rate in Common Voice-9 test split

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    Results on benechmarking in Malayalam Speech Corpus dataset