it was easy to fine-tune the models (sorta, gathering and cleaning the data sucked and it doesn't look like there is any easy automatic process to do this yet in terms of a simple online tool)
MACHINE LEARNING
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Netail AI Closes $5M Funding for Retail Pricing Analytics
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Congratulations Mark Chrystal and the @NetailAI team on closing $5M in funding to build AI to help retailers with pricing analytics. This is an exciting application of machine learning and will help many businesses. @AI_Fund @magaracvc https://
bizjournals.com/pittsburgh/inn
o/stories/Inno-insights/2022/11/29/why-netail-is-calling-pittsburgh-new-hq.html
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Stanford and Google Improve Transformer Training with Convex Analysis
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Stanford U & Google’s Convex Analytic Training Framework Improves the Understanding and Optimization of Transformers https://
syncedreview.com/2022/12/01/sta
nford-u-googles-convex-analytic-training-framework-improves-the-understanding-and-optimization-of-transformers/
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MIT Scientists Use GPT-3 LLM for Clinical Natural Language Processing
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Scientists at @MIT_CSAIL have used a GPT-3-style large language model (LLM) to perform tasks such as drug regimen extraction – an approach that will transform clinical natural language processing. Code > https://
bit.ly/3OK3CEd via @antgrasso #NLP #gpt3 #AI -
RA-CM3 Scalable Modular Knowledge Integration Architecture
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RA-CM3 integrates knowledge in a more scalable & modular way compared to previous methods. It’s more resilient to long-tail or unseen knowledge which can help the growth & update of knowledge over time in real world settings. We’re excited for the possibilities it presents. 3/4
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RA-CM3 Model Outperforms Baselines with 70% Less Compute
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The RA-CM3 model significantly outperforms baseline multimodal models on both image & caption generation tasks, while using <30% of the compute of comparable models & exhibiting novel capabilities like knowledge-intensive image generation & multimodal in-context learning. 2/4
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Meta AI Introduces RA-CM3: Multimodal Model for Text and Image Generation
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New paper from our team at Meta AI. Retrieval-Augmented CM3 (RA-CM3) is the first multimodal model that can retrieve and generate mixtures of text and images — while also reducing training cost and model size. Now available on arXiv https://
arxiv.org/abs/2211.12561 1/4 -
Jasper AI Advances GPT Networks for User Complexity Levels
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With @JasperAI, we strive to dramatically advance AI work, including training GPT networks to fit AI outputs to all levels of end-user complexity and granularity. Read more here: https://
hubs.li/Q01tMGsK0 -
Developing a Machine Learning Model for Predictive Maintenance
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Developing a #MachineLearning Model for Predictive Maintenance
— Giuliano Liguori (@ingliguori) 1 décembre 2022
Via @ingliguori#DigitalTransformation #Cloud #BigData #ArtificialIntelligence #cybersecurity #Blockchain #DX #Analytics #AI #IIoT #DataScience #IoT #IoTPL #industry40 #I40 #4IR #IndustrialIoT #Sensors #MLOps #AIOps pic.twitter.com/DLCjPc5j5LDeveloping a #MachineLearning Model for Predictive Maintenance
Via @ingliguori #DigitalTransformation #Cloud #BigData #ArtificialIntelligence #cybersecurity #Blockchain #DX #Analytics #AI #IIoT #DataScience #IoT #IoTPL #industry40 #I40 #4IR #IndustrialIoT #Sensors #MLOps #AIOps -
Confirming behavior reliability across sessions indicates different ChatGPT versions
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Can you confirm this behavior is reliable across fresh sessions? If so, that means there are different versions of ChatGPT deployed to different users.