Discover how companies like American Express, Ford Motor, and Woodruff Sawyer are revolutionizing their industries through AI integration, from transaction validation to dealership education and insurance brokerage.
- American Express strategizes AI integration for transaction validation and sentiment analysis, improving customer satisfaction and credit limit approvals. #AI #AmericanExpress #Amex #artificialintelligence #cloudbased #Crypto #customersatisfaction
- Ford Motor innovates dealership education with AI and gamification, enhancing customer service and knowledge of electrified vehicles. #AI #AIdriven #artificialintelligence #Automotive #dealership #Education #Ford #FordUniversity
- Woodruff Sawyer pioneers AI and data integration in insurance brokerage, focusing on client-centricity and technological excellence. #AI #artificialintelligence #Dataintegration #Innovation #Insurance #insurancebrokerage #machinelearning #WoodruffSawyer
Learn how to efficiently deploy ML models using mlflow with multiple cloud platforms and Kubernetes support. Pau Labarta Bajo offers insights on building ML systems for side income and provides valuable resources on MLOps best practices and project organization.
- Master ML model deployment with mlflow on SageMaker, Azure, Databricks, and Kubernetes
- Explore building ML systems for side income with Pau Labarta Bajo’s project for sports betting
- Join the Serverless ML Discord for learning Python and MLOps best practices
- Follow Pau Labarta Bajo for insights on production-ready ML and project organization
Discover groundbreaking research on reinforcement learning with the introduction of REBEL and PARL frameworks, as well as unsupervised representation learning and offline policy evaluation. Stay updated with top voices in AI and Machine Learning at Multiplatform.AI.
- REBEL and PARL frameworks revolutionize reinforcement learning
- Unsupervised representation learning enhances deep reinforcement learning
- Offline policy evaluation offers adaptively collected data insights
- Stay informed with top voices in AI and Machine Learning at Multiplatform.AI
Machine Learning FLX offers a variety of courses in data science, including Statistical Linear Models, Certified Data Science Practitioner, Essential Math, R Programming and Tidyverse, and Big Data Science. Enhance your skills in #machinelearning #deeplearning #datascience with these comprehensive e-learning courses. Visit the website for more information: [https://buff.ly/]
- Machine Learning FLX offers courses in Statistical Linear Models, Certified Data Science Practitioner, Essential Math, R Programming and Tidyverse, and Big Data Science
- Improve your skills in #machinelearning #deeplearning #datascience
- E-learning format for convenient learning
François Fleuret celebrates the success of ‘The Little Book of Deep Learning’ with 580k+ downloads and 3500+ physical copies sold. Antonio Orvieto explores Florea and Nesterov’s new algorithm for optimization theory. Sumanth emphasizes the importance of learning rates in updating model weights.
- François Fleuret’s ‘The Little Book of Deep Learning’ reaches 580k+ downloads and 3500+ physical copies sold
- Antonio Orvieto delves into Florea and Nesterov’s new algorithm for optimization theory
- Sumanth highlights the significance of learning rates in updating model weights
Researchers Jiawei Liu and Rohan Paul are working on extending the context for Llama-3 models to improve performance. Bindu Reddy acknowledges the challenges in solving long-context issues. Anton warns about potential degradation of performance with extended models.
- Jiawei Liu adds more claude-3 models and introduces RepoQA for evaluating LLMs’ repository understanding
- Rohan Paul extends Llama-3’s context using synthetic training samples
- Bindu Reddy acknowledges challenges in solving long-context issues on Llama-3
- Anton warns about potential degradation of performance with extended models
Explore the latest tech innovations from top voices like Thibaud Zamora ∞ and Gregory Wieber, including open-source tools like StoryDiffusion and insights into creating immersive environments. Discover new 3D transforms and powerful AI models in the works.
- Tech industry leaders including Thibaud Zamora ∞ and Gregory Wieber share insights
- Open-source tools like StoryDiffusion and innovative AI models are making waves
- Discover new 3D transforms and high-quality immersive environments in the works
The tech community showcases new features and updates, from dynamic lights in game development to site redesigns and visual style evolutions. Top voices like Daniel Korpai, Guillermo Rauch, and Anthony Hobday share their latest projects and progress.
- Daniel Korpai explores SwiftUI for iMessage holo stickers with thanks to mentors and inspirations
- Juan Manzano implements new features in game development and celebrates learning
- Guillermo Rauch praises harvey.ai team for site redesign and improved Real Experience Score on Vercel
- Guillermo Rauch showcases intuitive drag and drop feature in Pagy for product promotion
Researchers propose Kolmogorov-Arnold Networks (KANs) as superior alternatives to Multi-Layer Perceptrons (MLPs) for approximating nonlinear functions. KANs feature learnable activation functions on edges, outperforming MLPs with fewer parameters. Top voices like Rohan Paul and François Fleuret hail this breakthrough in Deep Learning.
- Kolmogorov-Arnold Networks (KANs) offer higher accuracy with fewer parameters compared to Multi-Layer Perceptrons (MLPs)
- Learnable activation functions on edges set KANs apart from MLPs
- Experts like Rohan Paul and François Fleuret praise KANs as a revolutionary alternative in Deep Learning
Multiplatform.AI introduces LayerSkip to accelerate inference speed for large language models and investigates efficient strategies for fine-tuning parameters. Top voices like MONTREAL.AI and AI Papers are discussing benchmark leakage and high-efficiency multimodal MLLMs for graph analysis.
- Introducing LayerSkip for faster inference in large language models
- Efficient strategies for fine-tuning parameters explored by Multiplatform.AI
- Discussions on benchmark leakage and high-efficiency MLLMs for graph analysis by top voices
- Hashtags: #AI #MachineLearning #ArtificialIntelligence
- URLs: https://multiplatform.ai/layerskip-revolutionizing-inference-speed-for-large-language-models/
- Top voices: MONTREAL.AI, AI Papers
Top voices like Valeriy M., PhD, MBA and CerboAI are discussing the emergence of Kolmogorov-Arnold Networks (KANs) as a game changer in deep learning. The new network based on the Kolmogorov-Arnold theorem offers fewer parameters, stronger performance, and better interpretability, heralding a new era of revolutionary deep learning architecture.
- Kolmogorov-Arnold Networks (KANs) are gaining attention in the deep learning community
- New network offers fewer parameters, stronger performance, and better interpretability
- Top voices like Valeriy M., PhD, MBA and CerboAI are discussing the impact of KANs on the AI revolution
Join top voices like sarah guo // conviction, Vercel, and Leonardo.Ai at Vercel Ship ’24 in NYC on May 23 for discussions on AI x web development, AI governance, and the future of AI in enterprise. Don’t miss out on engaging panels and insightful conversations!
- sarah guo // conviction to MC at Vercel Ship ’24 in NYC on May 23
- Cohere For AI hosting AI & Technical Governance Series event on May 3 with notable speakers
- Vercel Ship ’24 featuring talks from OpenAI, Google, perplexity_ai, and GroqInc on May 23
- Exciting AI conversations moderated by Sabrina Halper at Vercel Ship ’24
- Leonardo.Ai panel on ‘Cutting Through the AI Noise’ at Vercel Ship ’24 on May 2
The recent DSPy meetup in San Francisco featured engaging presentations from top voices like Erika Cardenas, Connor Shorten, and AJ Chan. With over 500 signups and exciting partnerships with Arize AI, Cohere, and Weaviate, the event was a huge success.
- The DSPy meetup in San Francisco had engaging presentations from top voices like Erika Cardenas, Connor Shorten, and AJ Chan
- Over 500 signups and partnerships with Arize AI, Cohere, and Weaviate made the event a success
- Speakers like Simi Gidla, Connor Shorten, and Mikel King shared valuable insights at the event
- The conversations before and after the meetup were outstanding and promising for future collaborations
Top tech voices including Jack Clark, Helen Toner, and Nathan Lambert shared insights on AI policy and governance at the main TED conference in Vancouver. Topics ranged from the challenges of reconciling safety concerns with regulatory capture to the importance of understanding and predicting AI development.
- Tech leaders Jack Clark, Helen Toner, and Nathan Lambert discuss AI policy and governance at TED conference
- Key points include reconciling safety concerns with regulatory capture and the importance of understanding AI development
- Insights shared on governing AI and building agentic workflows by top voices
From discussing the future of AI to creating interactive teaching sims, top voices like Ethan Mollick and Steven Pinker shed light on the latest trends and concerns in the industry. Additionally, cocktail peanut introduces AI Town Player, a revolutionary web app for replaying AI Town scenarios.
- Top voices in AI industry share insights on future trends and ethical concerns
- Cocktail peanut introduces AI Town Player, a web app for replaying AI Town scenarios
- Ethan Mollick suggests potential for building the Young Ladies Illustrated Primer with current AI technology
Gradio introduces new Python packages and showcases impressive demos like Invisible Stitch and ZeST. Stay updated on the latest advancements in ID-preserving models and interactive AI experiences with Gradio.
- The `gradio_leaderboard` Python package allows for creating high-performing leaderboard demos using Gradio
- Impress users with interactive Gradio demos like Invisible Stitch and ZeST
- Explore the power of ID-preserving models and viral Gradio apps for image editing
- Stay tuned for the official Gradio demo of PuLID’s superior performance in ID fidelity and editability
Multiple newspapers including New York Times, Chicago Tribune, and more file lawsuits against OpenAI and Microsoft for copyright violations. The lawsuits claim unauthorized use of copyrighted content in AI tools such as ChatGPT. #AI #copyrightinfringement #lawsuit @nytimes @multiplatformAI
- Several newspapers, including New York Times and Chicago Tribune, sue OpenAI and Microsoft for copyright violations
- Lawsuits claim unauthorized use of copyrighted content in AI tools like ChatGPT
- Alden Global Capital owns all 8 publishers involved in the lawsuits
Top voices in the field such as Jerry Liu and LlamaIndex share strategies and tutorials on improving retrieval and generation in RAG models. Learn how to build production data stacks and use semantic caching for optimal RAG applications.
- Experts like Jerry Liu and LlamaIndex provide tips on optimizing RAG models
- Tutorials cover strategies for improving retrieval and generation in RAG
- Learn to build production data stacks and use semantic caching for efficient RAG applications
Dreaming Tulpa is offering a free, once-weekly e-mail round-up of the latest AI art news, interviews with artists, and useful tools & resources. Join 3500+ subscribers by visiting https://aiartweekly.com
- Get the latest AI art news in a free newsletter from Dreaming Tulpa
- Join 3500+ subscribers for weekly updates on AI art
- Newsletter includes artist interviews and useful resources
- Visit https://aiartweekly.com to subscribe
Explore the inner workings of popular neural network architectures like CNN, RNN, GAN, and Transformer with insightful articles from CerboAI. Dive deep into the math behind LSTMs with a full implementation from scratch. Discover the complexities of MoE, Dense, and Hybrid LLM Architectures in the latest blog from Weights & Biases.
- CerboAI demystifies cutting-edge neural network architectures like CNN, RNN, GAN, and Transformer.
- Learn the math behind LSTMs with Cristian Leo’s deep dive and implementation from scratch.
- Weights & Biases explores MoE, Dense, and Hybrid LLM Architectures in their latest blog post.
Meta’s groundbreaking paper on Better & Faster Large Language Models via Multi-token Prediction shows models trained with 4-token prediction are up to 3 times faster at inference. The performance gain depends on the target task, leading to improvements in some areas like summarization.
- Meta’s paper introduces multi-token prediction for large language models
- Models trained with 4-token prediction are up to 3 times faster at inference
- Performance gain varies depending on the task, with improvements in summarization
The release of gpt2-chatbot has taken the tech world by storm, with experts speculating about its capabilities and potential breakthroughs. Top voices like François Fleuret and Weights & Biases have shared insights and reviews on this advanced AI model. Visit chat.lmsys.org to try it for free and learn more about its impressive features. #GPT2 #AI #TechNews
- GPT2-chatbot released on Gradio-powered @lmsysorg arena
- Experts speculate about potential AI breakthroughs
- Visit chat.lmsys.org to try it for free and learn more about its impressive features
- Top voices like François Fleuret and Weights & Biases share insights and reviews on this advanced AI model
Don’t miss the upcoming #RadAIchat on
- Join the #RadAIchat on Medical AI Regulation on May 1 at 8 PM ET
- Moderated by @merelhuisman, @Tugba_Akinci_MD, with panelists @DaniaDaye, @james_hillis, @woojinrad
- Learn about future directions in AI regulation in radiology
- Engage with top voices in the field such as @RSNA, @cekahn, @HElhalawaniMD
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