Are there data-driven decisions that could be improved with better insights? AI tools can analyze large datasets to uncover trends and inform smarter decisions. What insights could transform your strategy? #DataAnalytics #AI
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Google Reverses Cookie Phase-Out Decision: What It Means
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Google just announced it's keeping cookies, after all (the tech firm was previously planning to phase them out). What even are cookies, though? And what does keeping them in place mean for internet users and advertisers? Here's what you need to know:
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Llama Models: Synthetic Data, RLHF, Agents Toward Open AGI
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pod with @ThomasScialom of @AIatMeta
! Llama 2, 3 & 4: Synthetic Data, RLHF, Agents on the path to Open Source AGI https://
latent.space/p/llama-3 shoutouts:
– Why @ylecun
's Galactica Instruct would have solved @giffmana
's Citations Generator
– Beyond Chinchilla-Optimal: 100x -
Cohere Rerank 3 Nimble: Faster Enterprise Search Model
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Today, we’re introducing Rerank 3 Nimble: the newest foundation model in our Cohere Rerank model series, built to enhance enterprise search and RAG systems, which is ~3x faster than Rerank 3 while maintaining a high level of accuracy.
— Cohere (@cohere) 23 juillet 2024
It’s available only on Amazon Sagemaker. pic.twitter.com/zdUxVly4GWToday, we’re introducing Rerank 3 Nimble: the newest foundation model in our Cohere Rerank model series, built to enhance enterprise search and RAG systems, which is ~3x faster than Rerank 3 while maintaining a high level of accuracy. It’s available only on Amazon Sagemaker.
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Scale Data Foundry Advances Llama-3.1 Performance with Frontier Data
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Lastly, as I've spoken about before, frontier data generation is critical to driving frontier model performance. Scale Data Foundry was utilized to generate frontier data (SFT & RLHF data) to push the performance of Llama-3.1 We are excited to continue pushing SOTA with Meta!
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Meta Releases Llama 3.1 405B with Scale AI Partnership
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1/Meta just released Llama3.1 405B! @scale_AI partnered deeply with @Meta on this release: SEAL Evaluations: Based on our evals on IF on Math #4 on Coding Enterprise partnership for custom Llama models Data Foundry partnership on RLHF & SFT
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Scaling Machine Learning: Multi-Terabyte Dataset Lessons
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Lessons Learned from Scaling to Multi-Terabyte Datasets https://
bit.ly/4cVZmws
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Scaling AI-Powered Analytics Without Breaking Your Data Stack
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Ana the #AnalyticsChampion’s leadership wants to scale #AI-powered #analytics to more business users.
— Alteryx (@alteryx) 23 juillet 2024
But their #DataStack isn't ready.
Dumping millions into infrastructure isn't the answer. Nor is relying on IT for reports.
See how Ana saves the day: https://t.co/y9Wl3tfDpN pic.twitter.com/DwKfiBXy3kAna the #AnalyticsChampion’s leadership wants to scale #AI-powered #analytics to more business users. But their #DataStack isn't ready. Dumping millions into infrastructure isn't the answer. Nor is relying on IT for reports. See how Ana saves the day: https://
ow.ly/2Vwv50SIaYY -
Anomaly Detection in IoT Revolutionizes Industrial Monitoring
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Discover how anomaly detection in #IoT can revolutionize your approach to industrial monitoring and maintenance. Read the article now: https://
buff.ly/4evr0lk #sponsored #influxdata_iiot #Industry40 #AnomalyDetection #IIoT @avrohomg @GregorianCT1 via @fogoros -
Public Data for Private ML: Differential Privacy Research Agenda
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Personally, I have been super interested in public data for private ML. I honestly think this is the future of DP deployments. So this paper felt *super* core to my entire research agenda: how exactly we think we, as a field, should push forward. 4/n