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Advancements in Text Generation and Deployment of Large Language Models
MP3•Episoder hjem
Manage episode 433947787 series 3550973
Innhold levert av Simply News from Qurrent. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Simply News from Qurrent eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Researchers develop a Python library for Minimum Bayes Risk (MBR) decoding, revolutionizing text generation. MLC LLM offers a universal deployment engine for large language models (LLMs), simplifying the deployment process. LLMs enhance OCR post-correction, improving accuracy in text recognition systems. Amazon unveils a new era in code suggestion tools with multi-pass refinement. Explore the latest advancements in text generation and the deployment of large language models in AI.
Sources:
https://www.marktechpost.com/2024/08/13/mbrs-a-python-library-for-minimum-bayes-risk-mbr-decoding/
https://www.marktechpost.com/2024/08/13/mlc-llm-universal-llm-deployment-engine-with-machine-learning-ml-compilation/
https://www.marktechpost.com/2024/08/13/large-language-models-llms-for-ocr-post-correction/
https://www.marktechpost.com/2024/08/12/outperforming-existing-models-with-multi-pass-refinement-this-ai-paper-from-amazon-unveils-a-new-era-in-code-suggestion-tools/
Outline:
(00:00:00) Introduction
(00:00:55) MBRS: A Python Library for Minimum Bayes Risk (MBR) Decoding
(00:03:13) MLC LLM: Universal LLM Deployment Engine with Machine Learning ML Compilation
(00:06:09) Large Language Models LLMs for OCR Post-Correction
(00:08:58) Outperforming Existing Models with Multi-Pass Refinement: This AI Paper from Amazon Unveils a New Era in Code Suggestion Tools
…
continue reading
Sources:
https://www.marktechpost.com/2024/08/13/mbrs-a-python-library-for-minimum-bayes-risk-mbr-decoding/
https://www.marktechpost.com/2024/08/13/mlc-llm-universal-llm-deployment-engine-with-machine-learning-ml-compilation/
https://www.marktechpost.com/2024/08/13/large-language-models-llms-for-ocr-post-correction/
https://www.marktechpost.com/2024/08/12/outperforming-existing-models-with-multi-pass-refinement-this-ai-paper-from-amazon-unveils-a-new-era-in-code-suggestion-tools/
Outline:
(00:00:00) Introduction
(00:00:55) MBRS: A Python Library for Minimum Bayes Risk (MBR) Decoding
(00:03:13) MLC LLM: Universal LLM Deployment Engine with Machine Learning ML Compilation
(00:06:09) Large Language Models LLMs for OCR Post-Correction
(00:08:58) Outperforming Existing Models with Multi-Pass Refinement: This AI Paper from Amazon Unveils a New Era in Code Suggestion Tools
100 episoder
MP3•Episoder hjem
Manage episode 433947787 series 3550973
Innhold levert av Simply News from Qurrent. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Simply News from Qurrent eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Researchers develop a Python library for Minimum Bayes Risk (MBR) decoding, revolutionizing text generation. MLC LLM offers a universal deployment engine for large language models (LLMs), simplifying the deployment process. LLMs enhance OCR post-correction, improving accuracy in text recognition systems. Amazon unveils a new era in code suggestion tools with multi-pass refinement. Explore the latest advancements in text generation and the deployment of large language models in AI.
Sources:
https://www.marktechpost.com/2024/08/13/mbrs-a-python-library-for-minimum-bayes-risk-mbr-decoding/
https://www.marktechpost.com/2024/08/13/mlc-llm-universal-llm-deployment-engine-with-machine-learning-ml-compilation/
https://www.marktechpost.com/2024/08/13/large-language-models-llms-for-ocr-post-correction/
https://www.marktechpost.com/2024/08/12/outperforming-existing-models-with-multi-pass-refinement-this-ai-paper-from-amazon-unveils-a-new-era-in-code-suggestion-tools/
Outline:
(00:00:00) Introduction
(00:00:55) MBRS: A Python Library for Minimum Bayes Risk (MBR) Decoding
(00:03:13) MLC LLM: Universal LLM Deployment Engine with Machine Learning ML Compilation
(00:06:09) Large Language Models LLMs for OCR Post-Correction
(00:08:58) Outperforming Existing Models with Multi-Pass Refinement: This AI Paper from Amazon Unveils a New Era in Code Suggestion Tools
…
continue reading
Sources:
https://www.marktechpost.com/2024/08/13/mbrs-a-python-library-for-minimum-bayes-risk-mbr-decoding/
https://www.marktechpost.com/2024/08/13/mlc-llm-universal-llm-deployment-engine-with-machine-learning-ml-compilation/
https://www.marktechpost.com/2024/08/13/large-language-models-llms-for-ocr-post-correction/
https://www.marktechpost.com/2024/08/12/outperforming-existing-models-with-multi-pass-refinement-this-ai-paper-from-amazon-unveils-a-new-era-in-code-suggestion-tools/
Outline:
(00:00:00) Introduction
(00:00:55) MBRS: A Python Library for Minimum Bayes Risk (MBR) Decoding
(00:03:13) MLC LLM: Universal LLM Deployment Engine with Machine Learning ML Compilation
(00:06:09) Large Language Models LLMs for OCR Post-Correction
(00:08:58) Outperforming Existing Models with Multi-Pass Refinement: This AI Paper from Amazon Unveils a New Era in Code Suggestion Tools
100 episoder
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