On the Dangers of Stochastic Parrots | Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency "In this paper, we take a step back and ask: How big is too big?" https://
bit.ly/3LyFIMe
LLMS
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Stochastic Parrots: Questioning the Size of Large Language Models
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Data-Centric AI Conference Brings AI Leaders Together June
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The Future of Data-Centric AI Conference, June 7-8, is weeks away!Meet AI wizards from @Wellsfargo
, @EYnews
, @Snorkelai
, @Arista
, & @Wayfair
, who will share how to build AI-powered experiences and products live. #futureishere #ai #llm -
GPT Hallucinations and Computational Efficiency in Investment Management
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It’s important not to have hallucinations or at least to detect when they occur if investment managers deploy GPT and similar models at scale! Computational efficiency (e.g. energy consumption) will also matter if we seek to use this technology for ESG – another reason why https://
x.com/psb_dc/status/
/psb_dc/status/1651677787135045652
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Doubling Model Parameters Without Increased Compute Cost
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~2 x the parameters for the same compute cost. Basically free model sparsity (sparse w.r.t to enc/dec blocks).
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Encoder-Decoder vs Decoder: Clarifying AI Architecture Misconceptions
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So many misconceptions about architectures (esp encoder-decoder vs decoder) partially due to nomenclature being confusing. – EncDec, PrefixLMs, Causal Dec-onlys are *all* autoregressive. Even T5/UL2's objective is autoregressive. – All 3 archs are not that different. People
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Fine-tune open model for improved performance
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Bien sûr c’est toi qui a fait ça @steeve Good job!! Excellent Faut que tu fine tune un model ouvert maintenant.
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Can ChatGPT Replace Software Programmers?
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Can ChatGPT replace Programmers?#ChatGPT #OpenAI #AI #NLP #ArtificialIntelligence #ChatGPT4 #MachineLearning #DeepLearning #Tech #Innovation #FutureTech #ML #IoT #Programming #nocode #coding #100DaysOfCode #CodeNewbie pic.twitter.com/l6B2EFKeHa
— Catherine Adenle (@CatherineAdenle) 28 avril 2023Can ChatGPT replace Programmers? #ChatGPT #OpenAI #AI #NLP #ArtificialIntelligence #ChatGPT4 #MachineLearning #DeepLearning #Tech #Innovation #FutureTech #ML #IoT #Programming #nocode #coding #100DaysOfCode #CodeNewbie
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ChatGPT3 vs ChatGPT4: Key Differences Explained
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ChatGPT3 vs. ChatGPT4 explained.#ChatGPT4 #ChatGPT #OpenAI #AI #NLP #ArtificialIntelligence #MachineLearning #DeepLearning #Tech #Innovation #FutureTech #ML #IoT #Programming #nocode #GenerativeAI #technology #WomenInTech pic.twitter.com/RALpcFQM0t
— Catherine Adenle (@CatherineAdenle) 28 avril 2023ChatGPT3 vs. ChatGPT4 explained. #ChatGPT4 #ChatGPT #OpenAI #AI #NLP #ArtificialIntelligence #MachineLearning #DeepLearning #Tech #Innovation #FutureTech #ML #IoT #Programming #nocode #GenerativeAI #technology #WomenInTech
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AutoGPT: Features, Limitations, AGI and Autonomous Agents Impact
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#AutoGPT — What It Is, Its Features, Limitations, Artificial General Intelligence (AGI) And Impact of Autonomous Agents on #GenerativeAI: https://
marktechpost.com/2023/04/16/bre
aking-down-autogpt-what-it-is-its-features-limitations-artificial-general-intelligence-agi-and-impact-of-autonomous-agents-on-generative-ai/
… by @Marktechpost HT @asifrazzaq1988 ————
#AI #ChatGPT #DeepLearning #MachineLearning #DataScience #DataScientists -
ChatGPT Cheat Sheet for Data Science Available for Download
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Download 78-page PDF “#ChatGPT Cheat Sheet for #DataScience” at https://
res.cloudinary.com/dyd911kmh/imag
e/upload/v1678453027/Marketing/Blog/ChatGPT_Cheat_Sheet.pdf
… by @DataCamp —
Source here: http://
datacamp.com/cheat-sheet/ch…
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#AI #GenerativeAI #BigData #DataScientists #MachineLearning #NeuralNetworks #DeepLearning #NLU #NLG #NLProc #GPT3 #GPT4