@databricks
will combine its AI-ready data-management tech with
@MosaicML
‘s language-model platform, enabling businesses to build low-cost models themselves with proprietary data.
@angusloten
@bellelin_
#CIO #AI https://
wsj.com/articles/datab
ricks-strikes-1-3-billion-deal-for-generative-ai-startup-mosaicml-fdcefc06
…
DATA
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Databricks acquires MosaicML for AI model development
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Cerebras Tech Talk: SlimPajama Open-Source LLM Dataset
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Cerebras Tech Talk this Wednesday! On June 28th at 11:00 AM PT, we will discuss how we created SlimPajama, the largest deduplicated, multi-corpora, open-source dataset for training large language models Register for this 30-minute interactive Q&A here: https://
hubs.li/Q01VRMFY0 -
Businesses Can Ethically Embrace Artificial Intelligence
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How Businesses Can Ethically Embrace Artificial Intelligence
#AI #AIio #BigData #ML #NLU #Futureofwork http://
ow.ly/xFv930svSem -
How Businesses Can Ethically Embrace Artificial Intelligence
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How Businesses Can Ethically Embrace Artificial Intelligence
#AI #AIio #BigData #ML #NLU #Futureofwork @chrismessina @ChristopherIsak @davidwkenny @debashis_dutta @petitegeek @fabiomoioli @GaryMarcus @asokan_telecom http://
ow.ly/hteA30svSu1 -
SQL Meets Document Model: Hybrid Database Innovation
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Have your SQL cake and eat it, too, but with the power of the document model? Sounds tasty!
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Databricks Acquires MosaicML for $1.3B in AI Database Battle
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Databricks’s $1.3 billion buy of MosaicML is a battle for the future of the database At the heart of MosaicML’s approach is the “lottery ticket hypothesis of Jonathan Frankle and Michael Carbin of MIT. @MosaicML @databricks @OpenAI $ORCL $MDB $BASE $MSFT #investing #AI
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Guide pratique sur l’utilisation des LLMs : modèles, données et applications
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Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond This survey paper provides a comprehensive and practical guide on working with LLMs for various settings(in-context learning & fine-tuning). I like how it approach LLMs usage in lens of models, data, and
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Condition-Based Maintenance Strategy with Real-Time Monitoring
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Learn how to implement a needs-driven filter replacement strategy and shift from time-based to condition-based maintenance leveraging @ifm_USA’s #moneo Real-Time Monitoring System. https://
ow.ly/WRn950OOlTT #sponsored #ifm_iiot #digitaltransformation #iiot #industry40 #automation -
Harness Evaluation Framework for Large Language Models
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18/ Harness: Now we finally turn to the EleutherAI Harness implementation (as of January 2023) which was used to compute the numbers for the Open LLM Leaderboard. Here is yet another way to compute a score for the model on the very same evaluation dataset! Let's take a look:
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HELM Benchmark Implementation Analysis for MMLU Evaluation
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4/ Diving further, we found yet another serious implementation for evaluating on the very same MMLU dataset: the code used in the HELM benchmark https://
crfm.stanford.edu from @StanfordCRFM
: https://
github.com/stanford-crfm/
helm
… Let's call it the "HELM implementation"