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Contenu fourni par TWIML and Sam Charrington. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par TWIML and Sam Charrington ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
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Chronos: Learning the Language of Time Series with Abdul Fatir Ansari - #685
Manage episode 419258464 series 2355587
Contenu fourni par TWIML and Sam Charrington. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par TWIML and Sam Charrington ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Today we're joined by Abdul Fatir Ansari, a machine learning scientist at AWS AI Labs in Berlin, to discuss his paper, "Chronos: Learning the Language of Time Series." Fatir explains the challenges of leveraging pre-trained language models for time series forecasting. We explore the advantages of Chronos over statistical models, as well as its promising results in zero-shot forecasting benchmarks. Finally, we address critiques of Chronos, the ongoing research to improve synthetic data quality, and the potential for integrating Chronos into production systems.
The complete show notes for this episode can be found at twimlai.com/go/685.
726 episodes
Chronos: Learning the Language of Time Series with Abdul Fatir Ansari - #685
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Manage episode 419258464 series 2355587
Contenu fourni par TWIML and Sam Charrington. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par TWIML and Sam Charrington ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Today we're joined by Abdul Fatir Ansari, a machine learning scientist at AWS AI Labs in Berlin, to discuss his paper, "Chronos: Learning the Language of Time Series." Fatir explains the challenges of leveraging pre-trained language models for time series forecasting. We explore the advantages of Chronos over statistical models, as well as its promising results in zero-shot forecasting benchmarks. Finally, we address critiques of Chronos, the ongoing research to improve synthetic data quality, and the potential for integrating Chronos into production systems.
The complete show notes for this episode can be found at twimlai.com/go/685.
726 episodes
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Similaire à The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
…
continue reading
Why do only 10% of companies succeed with AI? In this series by MIT SMR and BCG, we talk to the leaders who've achieved big wins with AI in their companies and learn how they did it. Hear what gets experts from companies like NASA, Github, and others excited to do their jobs every day and what they consider the keys to their success.
…
continue reading
Conversations about science, technology, history, philosophy and the nature of intelligence, consciousness, love, and power. Lex is an AI researcher at MIT and beyond.
…
continue reading
Discover a whole new take on Artificial Intelligence with Squirro's educational podcast! Join host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and their incredible impact on society, and y ...
…
continue reading
Every Friday and Sunday, Slate’s popular daily news podcast What Next brings you TBD, a clear-eyed look into the future. From fake news to fake meat, algorithms to augmented reality, Lizzie O’Leary is your guide to the tech industry and the world it’s creating for us to live in.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
Material is a weekly discussion about the Google and Android universe. Your intrepid hosts try to answer the question, “What holds up the digital world?” The answer, so far, is that it’s Google all the way down. Hosted by Andy Ihnatko and Florence Ion.
…
continue reading
1
Defensive Security Podcast - Malware, Hacking, Cyber Security & Infosec
Jerry Bell and Andrew Kalat
Defensive Security is a weekly information security podcast which reviews recent high profile cyber security breaches, data breaches, malware infections and intrusions to identify lessons that we can learn and apply to the organizations we protect.
…
continue reading
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…
continue reading
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continue reading
Player FM - Application Podcast
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Mettez-vous hors ligne avec l'application Player FM !
