TheSequence - NVIDIA’s GTC in Four Headlines
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You can subscribe below:📝 Editorial: NVIDIA’s GTC in Four HeadlinesI tried to resist making this weekend's editorial about NVIDIA because I think you might have been inundated with headlines from the GTC conference. Unable to resist, I instead decided to present the four most impactful announcements in terms of ambition and market impact. If I have to summarize two key takeaways from NVIDIA's AI announcements this week, they would be these:
To put that in context, here are four key announcements from this week's GTC:
There were many additional announcements at GTC, but the aforementioned four are incredibly impactful. NVIDIA's AI hardware dominance is unquestionable, but it's quickly making inroads in the software space. 🔎 ML ResearchChronosAmazon Science published a paper introducing Chronos, a family of pretrained foundation models for time series forecasting. Chronos models time-series data using the same techniques used by LLMs —> Read more. MoiraiSalesforce Research also got into time series forecasting with foundation models with the publication of a paper detailing Moirai. The new model follows the paradigm of a universal forecasting model that can issues predictions across many domains and time scales —> Read more. TacticAIGoogle DeepMind published a paper detailing TacticAI, a model that can provide technical insights in football( soccer) plays, particularly corner kicks. The model uses geometric deep learning by generating possible reflections of a game situation including the player’s relationships —> Read more. RAFTResearcers from UC Berkely published a paper introducing retrieval-augmented fine-tuning(RAFT), a training technique that improves the ability of models to answer questions based on external data. Given a question, RAFT ignores the documents that are not relevant to formulagte the answer leading to more accurate outputs —> Read more. Evolutionary Optimization and FM Model MergingResearchers from Sakana AI published a paper that uses evolutionary optimization to merge foundation models. The technique attempts to harness the collective intelligence of different models to create more powerful foundation models —> Read more. SceneScriptMeta AI Research published a paper detailing SceneScript, a method for reconstructing layouts of physical spaces. The technique can have profound implications in augmented reality scenarios that merge physical and virtual spaces —> Read more. 🤖 Cool AI Tech ReleasesNVIDIA NIMNVIDIA announced NIM, its cloud microservices endpoints for pretrained foundation models —> Read more. GrokElon Musk’s xAI open sourced a version of its marque model Grok —> Read more. Stable Video 3DStability AI released Stable Video 3D, an improved model that can generate 3D objects from text descriptions —> Read more. 🛠 Real World MLAI Training Logging at MetaMeta discusses Logarithm, their solution for AI training logging —> Read more. GNNs at PinterestPinterest details their use of graph neural networks(GNNs) for content understanding —> Read more. RL at LyftLyft discusses the architecture powering their internal reinforcement learning workloads —> Read more. Cloud Monitoring at MicrosoftMicrosoft discusses the AI used to monitor its Azure cloud services —> Read more. 📡AI Radar
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