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India Plays Leading Role In AI: India plays leading role in AI: French Minister Jean-Noel Barrot on India hosting GPAI Summit | India News

NEW DELHI: The French Minister Delegate for Digital Affairs, Jean-Noel Barrot on Wednesday stressed that India plays a leading role in AI by hosting the Global Partnership on Artificial Intelligence (GPAI) Summit. Barrot is on his second official visit to India to advance bilateral cooperation on digital technology and will also participate in the…

mms-tts-ukr

Massively Multilingual Speech (MMS): Ukrainian Text-to-Speech This repository contains the Ukrainian (ukr) language text-to-speech (TTS) model checkpoint. This model is part of Facebook's Massively Multilingual Speech project, aiming to provide speech technology across a diverse range of languages. You can find more details about the supported languages and their ISO 639-3 codes in the MMS Language Coverage Overview, and…

Decision Tree Classification in Machine Learning | Decision Tree in ML

In this video, learn Decision Tree Classification in Machine Learning | Decision Tree in ML. Find all the videos of the Machine Learning Course in this playlist: https://www.youtube.com/playlist?list=PLjVLYmrlmjGe-xLyoCdDrt8Nil1Alg_L3 💎 Get Access to Premium Videos and Live Streams: https://www.youtube.com/channel/UC0T6MVd3wQDB5ICAe45OxaQ/join WsCube Tech is a leading Web, Mobile App & Digital Marketing company, and institute in India. We help businesses…

Use LLMs To Extract Data From Text (Expert Mode)

Twitter: https://twitter.com/GregKamradt Newsletter: https://mail.gregkamradt.com/signup Kor: https://eyurtsev.github.io/kor/tutorial.html LangChain: https://python.langchain.com/en/latest/index.html Code: https://github.com/gkamradt/langchain-tutorials/blob/main/data_generation/Expert%20Structured%20Output%20(Using%20Kor).ipynb 0:00 - Intro 0:24 - Kor Intro 0:54 - Code 1:29 - Kor Hello World 3:47 - Extract Multiple Fields 5:02 - Working with lists 6:35 - Structuring User Intent 7:59 - Real World Example (OpeningAttributes) 11:50 - Extract Salary Information 13:21 - Get Token Pricing 13:56 - Productionize To Dos source

topic_classification_04

topic_classification_04 This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on an unknown dataset. It achieves the following results on the evaluation set: Train Loss: 0.8325 Train Sparse Categorical Accuracy: 0.7237 Epoch: 9 Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following…