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There is still a lingering belief from classical machine learning that bigger models overfit and thus don't generalize well. This is described by the bias-variance trade-off, but this no longer holds in the new age of machine learning. This is empirically shown by phenomena like double descent, where higher-complexity models perform better than lower-complexity ones. The reason why this happens remains counterintuitive for most people, so I aim to address it here: Capacity Theory: The theory states that when models are much larger than their training data, they have extra capacity not just for memorizing but also for exploring different structures. They can find more generalizable structures that are simpler than those required for memorization. Due to regularization, the model favors the...

submitted by /u/UI_community [link] [comments]

submitted by /u/OvidPerl [link] [comments]

Meta and Google using user comments or reviews as part of generative AI responses to queries on restaurants or to summarise sentiment could introduce new defamation risks.[1] Decart’s AI simulates a real-time, playable version of Minecraft.[2] AI chatbots are the new priests.[3] I will never confess to Father AI. That’s according to a new study from the University of Kansas Life Span Institute, which found that parents seeking information on their children’s health are turning to AI more than human health care professionals.[4] Sources: [1] https://www.theguardian.com/technology/2024/nov/04/google-meta-efamation-ai-generated-responses-australia [2] https://techcrunch.com/2024/10/31/decarts-ai-simulates-a-real-time-playable-version-of-minecraft/ [3] https://www.businessinsider.com/rise-of...

I was using Open AI assistant to help me look for source material for a presentation. I have done this before and it usually gives me good material to complement the presentation. I got this video as a result. I didn't ask for it at any point, nor the conversation was sarcastic or comedic at any point . Really confusing. I know it looks like a joke but it really happened, today to be specific. submitted by /u/mindatetheuniverse [link] [comments]

submitted by /u/MetaKnowing [link] [comments]

submitted by /u/MetaKnowing [link] [comments]

Anthropic Introduces Claude 3.5 Sonnet with Visual PDF Analysis for Images, Charts, and Graphs under 100 Pages.[1] Quantum Machines and Nvidia use machine learning to get closer to an error-corrected quantum computer.[2] Runway goes 3D with new AI video camera controls for Gen-3 Alpha Turbo.[3] Scientists Use AI to Turn 134-Year-Old Photo Into 3D Model of Lost Temple Relief.[4] Sources: [1] https://analyticsindiamag.com/ai-news-updates/anthropic-introduces-claude-3-5-sonnet-with-visual-pdf-analysis-for-images-charts-and-graphs-under-100-pages/ [2] https://techcrunch.com/2024/11/02/quantum-machines-and-nvidia-use-machine-learning-to-get-closer-to-an-error-corrected-quantum-computer/ [3] https://venturebeat.com/ai/runway-goes-3d-with-new-ai-video-camera-controls-for-gen-3-alpha-turbo/ [4] ...

Spotlight- Nvidia (NVDA) to Replace Intel in the Dow Jones Industrial Average after Intel fail in the race of AI boom Perplexity launches an elections tracker Claude can now view images within a PDF submitted by /u/codeharman [link] [comments]

Hi All, I am trying to automate some of the work processes carried out by engineering companies in the oil and gas sector and the energy industry. I have over 20 years of experience in the industry as an engineer, project manager and commercial manager, and I have also started learning about AI since early this year. I have identified two separate Micro SaaS that can be started with, requiring both traditional machine learning and LLMs. I am therefore looking for a technical co-founder for the company, which I plan to set up early next year. I am ideally looking for a co-founder based in the UK like myself. However, I am also open to any other part of the EU that is tech-startup friendly and with significant energy industry players, such as Norway, Denmark, Netherlands, France, etc. So, i...