I had a few minutes to quickly summarize PyTorch in one slide and this is roughly it.
MACHINE LEARNING
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Why Python is the Preferred Language for AI and Machine Learning
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Why Use Python for AI and Machine Learning?
#AI #AIio #BigData #ML #NLU #Futureofwork @chrismessina @ChristopherIsak @davidwkenny @debashis_dutta @petitegeek @fabiomoioli @GaryMarcus @asokan_telecom http://
ow.ly/ELh330swAB7 -
Data Frameworks for Production Vectorstore Management
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It's nice to see more data frameworks emerging for production considerations (keeping context up-to-date and in-sync in a vectorstore)
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Emerging Trends, Transformative Tech, Customer Validation Strategy
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Questions to reflect on: What’s a trend that’s emerging but underserved (e.g. security, collaboration)? What’s a transformative technology that’s emerging that’s underutilized (e.g. data scalability)? How many potential customers have you spoken with about your idea?
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Stanford Toolkit Addresses NLP Performance Gaps in English Variants
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The field of natural language processing is fraught with equity challenges. Stanford researchers developed a toolkit to help address performance gaps with English language variants.
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PUG Datasets Improve CV Model Robustness Assessment
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Even the most recent CV models are still struggling w/ basic object classification tasks that are easy for humans. With the new PUG datasets, we can correctly assess and find ways to improve the robustness of these models. Research Paper
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Meta AI PUG: Photorealistic Controllable Datasets for Model Evaluation
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Today we're sharing our work on PUG, new research from Meta AI on photorealistic, semantically controllable datasets using Unreal Engine for robust model evaluation.
— AI at Meta (@AIatMeta) 9 août 2023
More details & dataset downloads ➡️ https://t.co/rpBBmhNyyK pic.twitter.com/avZEQAysXhToday we're sharing our work on PUG, new research from Meta AI on photorealistic, semantically controllable datasets using Unreal Engine for robust model evaluation. More details & dataset downloads https://
bit.ly/45na9M6 -
Ludwig v0.8: Open-Source Low-Code Framework for LLM Fine-Tuning
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Announcing Ludwig v0.8—the first #opensource low-code framework optimized for building and #finetuning LLMs on your data. New features incl. fine-tuning, integrations w/ Deepspeed, parameter efficient fine-tuning (#LoRA), prompt templating and more!
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Top 10 Data Science Myths Debunked: Career Opportunities Revealed
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Curious about #datascience? Let's bust the top 10 myths about this exciting field! Discover the truth behind what data scientists really do and the job opportunities they offer. #JobOpportunities #MythBusting via @ingliguori Read the article here: https://
bit.ly/3I8Sj6A