Nice! SJTU GAIR-NLP Group introduces their OpenAI o1 Replication Journey. https://
github.com/GAIR-NLP/O1-Jo
urney/blob/main/resource/report.pdf
… https://
github.com/GAIR-NLP/O1-Jo
urney
… By providing a comprehensive, real-time account of our journey to replicate the groundbreaking o1 model,
GENERATIVE AI
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SJTU GAIR-NLP Group Shares OpenAI o1 Replication Journey
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On-Demand Software: AI Agents Automating Development
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On-demand software: we're entering a world where creating software is getting faster, cheaper, and automated. Replit Agent, Devin, GPTEngineer, and others are showing how quickly one can prototype software – making cool ideas into reality quickly. But what if software is
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Podcastfy: Convert Web Content into Multilingual Podcasts
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Podcastfy ai
— AK (@_akhaliq) 9 octobre 2024
Podcastfy is an open-source Python package that transforms web content, PDFs, and text into engaging, multi-lingual audio conversations using GenAI.
Unlike UI-based tools focused primarily on note-taking or research synthesis (e.g. NotebookLM ❤️), Podcastfy focuses… pic.twitter.com/UxkAeMQYrbPodcastfy is an open-source Python package that transforms web content, PDFs, and text into engaging, multi-lingual audio conversations using GenAI. Unlike UI-based tools focused primarily on note-taking or research synthesis (e.g. NotebookLM), Podcastfy focuses
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Gemini Live Gains Search Capability for Real-Time AI Interaction
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ICYMI: Gemini Live now has search access Search capability wasn’t available initially at a time of the rollout and has been enabled silently. I was asking about latest AI news via the voice mode in this example
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Embracing Generative AI Integration in the Modern Workplace
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Embracing Gen AI at Work
#AI #AIio #BigData #ML #NLU #Futureofwork @briansolis @Xbond49 @VitalikButerin @DataScienceCtrl @Benioff @johnnosta @IrmaRaste @Tiffani_Bova http://
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Gemma 2 Models: Pre-training Emissions and Open-Source Inference
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Here's info on the estimated emissions for pre-training for the Gemma 2 family of models (from a paper published in July 2024). Those models are open-sourced, so should be easy for external parties to measure inference costs under various compute environments/settings (as
