Curious about #OpenSource #LLMs and #GPT? Join @h2oai for a #MeetUp on May 24, 6:30-8:30 PM @SMU in Dallas! Make and fine-tune your own LLMs using Open Assistant datasets. Register: https://
h2o.ai/events/live/ma
ke-your-own-gpt-dallas/
… #h2oGPT #GenerativeAI #MachineLearning #H2OLLMStudio #DemocratizeAI
MACHINE LEARNING
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H2O Meetup: Create and Fine-Tune Your Own LLMs in Dallas
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Free Multimodal Deep Learning Book Download
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100% FREE book about Multimodal Deep Learning. Multimodal learning is about learning from data of multiple modalities, for example, text, images, video, etc. Download it here: https://
arxiv.org/pdf/2301.04856
.pdf
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AI Stocks Offering Immediate Dividend Returns
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Want to Cash In on Artificial Intelligence? These AI Stocks Will Pay Immediate Dividends – The Motley Fool Read more here: https://
ift.tt/DWkhNFV #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT -
AI May Not Be As Scary As We Feared
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Artificial Intelligence may not be as scary as we feared – Sacramento Bee Read more here: https://
ift.tt/ADiFWj6 #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT -
Two Stocks Set to Benefit From ChatGPT’s Explosive Growth
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TipRanks ‘Perfect 10’ List: 2 Stocks That Will Benefit Most From ChatGPT’s Meteoric Growth (Besides Microsoft) – Yahoo Finance Read more here: https://
ift.tt/qA5SaQN #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP … -

Python Tutorial for Beginners: Learn Python Programming Easily
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#Python Tutorial For Beginners – Learn Python Easily http://
bit.ly/42TkYol @Great_Learning via @ipfconline1 #Coding #AI #DataScience #100DaysOfCode #AI #Analytics #DataScientists #Statistics #NeuralNetworks #DeepLearning #SupervisedLearning @SpirosMargaris -

PaLM’s Multilingual Capabilities: Translation Pairs Across 44 Languages
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10/ Searching for Needles in a Haystack – shows that PaLM is exposed to over 30 million translation pairs across at least 44 languages; shows that incidental bilingualism connects to the translation capabilities of PaLM.
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CodeT5+ Achieves State-of-the-Art Code Understanding and Generation
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8/ CodeT5+ – supports a wide range of code understanding and generation tasks and different training methods to improve efficacy and computing efficiency; achieves SoTA on tasks like code completion, math programming, and text-to-code retrieval tasks.
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Symbol Tuning Boosts Language Models In-Context Learning Performance
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9/ Symbol Tuning – an approach to finetune LMs on in-context input-label pairs where natural language labels are replaced by arbitrary symbols; boosts performance on unseen in-context learning tasks and algorithmic reasoning tasks.