#TheDataExchangePod 🎧 Michele Catasta of Replit explores the potential of #AI for software development. Find out how #LLMs & foundations models are helping developers code faster, better, and more efficiently.
#Nlproc #LLM #MachineLearning 🔗 thedataexchange.media/software

#TheDataExchangePod 🎧 the amazing Jeff Jonas of Senzing explains how #BigData, #AI, & real-time processing redefine #EntityResolution and #MasterDataManagement. Learn valuable insights and leverage lessons in accuracy, scale, and complexity. Expand the scope of your AI applications and boost efficiency like never before!
#datascience #dataquality #datacentricai #machinelearning #ai
🔗 thedataexchange.media/using-da

It's been a another wild month in AI & Deep Learning research.
I curated and summarized noteworthy papers here:

magazine.sebastianraschka.com/

Ranging from new optimizers for LLMs to new scaling laws for vision transformers.

Here are the slides for my #PyDataLondon keynote on LLMs from prototype to production ✨

Including:
◾ visions for NLP in the age of LLMS
◾ a case for LLM pragmatism
◾ solutions for structured data
◾ spaCy LLM + prodi.gy

speakerdeck.com/inesmontani/la

A new Ahead of AI issue is out, where I am covering the latest research highlights concerning LLM tuning and dataset efficiency:

magazine.sebastianraschka.com/

New Newsletter 📥 Get the inside scoop on GPT-4 & PaLM 2. Unpack the intricacies of these foundation models and understand the evolution of #LLMs
#NLproc #MachineLearning #DataScience
gradientflow.substack.com/p/wh

#TheDataExchangePod: Are you looking for dependable, trustworthy #AI solutions for your company? 🏦🏥⚖️ Jonas Andrulis of Aleph Alpha explains what it takes to build/deploy reliable, source-cited responses, specializing in the legal, healthcare, and financial sectors.
thedataexchange.media/building

New blog entry: Normalizing company names (and more) with SPARQL and Wikidata. As a service! bobdc.com/blog/wikidatanormali

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