they are orthogonal concepts. flan-{t5/ul2} is almost always better than the vanilla model.
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UL2 Fine-tuning Outperforms T5 in Most Cases
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Fwiw, fine-tuning ul2 is almost always better than t5.
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Multi Retriever QA: Embeddings for Sub-Chain Routing
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multi retriever QA uses embeddings inside the sub chains this uses embeddings to do the routing to sub chains
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InnovatiCS SQL For Data Science AI Certificate Program Registration Open
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Registration is open for the InnovatiCS (formerly Big Bang Data Science Solutions) upcoming online #SQL For #DataScience & #AI Certificate Program — Online LIVE training from industry experts starts on June 10. Certification provides hands-on experience in SQL, Power BI, Data
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Auto Evaluator Tool Featured in Upcoming Webinar
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I would check out auto evaluator! @sfgunslinger is one of the authors and will be joining for the webinar, so will definitely cover that topic https://
github.com/rlancemartin/a
uto-evaluator
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Embedded SQL Engines for Plotting Massive Datasets
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Eduardo Blancas – Using embedded SQL engines for plotting massive datasets on a laptop https://
bit.ly/40YhnEQ #MachineLearning #AI #DataScience #DeepLearning -
Automating Data Science Model Deployment with Abacus AI Platform
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#DataScientists often focus on answering a key question: How do I approach this problem? The operationalization of huge data, #MachineLearning Algorithms, & #DataScience Models can be fully automated by the @AbacusAI platform, potentially increasing model deployment speed by 10X!
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StarCoder: Open-Source 15.5B Parameter Code Language Model
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9/ StarCoder – an open-access 15.5B parameter LLM with 8K context length and is trained on large amounts of code spanning 80+ programming languages.
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Open Sourcing Replicated Functionality from Scratch
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We have probably replicated their entire functionality from scratch, and will open source it 🙂
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ChatGPT Speeds Up SQL Query Writing Process
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I'm not an expert in SQL and writing a query like this one would have taken me a lot of time (visiting multiple websites, several query attempts, finding right search term, etc). But with ChatGPT, it took me just two prompts and ~1 min ¯_(ツ)_/¯