Did you hear about AI at Meta 's BLT? This new transformer architecture replaces the traditional tokenizer with dynamic sized patches, focusing processing FLOPs where it matters the most! 🤖 Read more in our blog post: https://lnkd.in/ej8VgaMy #LLM #LLMs #NLP #AI #ArtificialIntelligence
RidgeRun.ai
Software Development
AI, Computer Vision and Machine Learning for your audio and video projects.
About us
RidgeRun.ai provides cutting-edge machine learning consulting services and products for audio and video analytics that make your product unique.
- Website
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www.ridgerun.ai
External link for RidgeRun.ai
- Industry
- Software Development
- Company size
- 51-200 employees
- Type
- Privately Held
Updates
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🚀 Ready to fine-tune your LLM for YOUR unique use case? 🤔 Discover how to maximize the potential of community models for your application in our latest blog! 🧠✨ 🌟 Learn the art of Fine-Tuning LLMs with 🔧 Unsloth and 🤗 Hugging Face. 💡 Whether you're building smarter chatbots, innovative tools, or personalized AI solutions, this guide has you covered! 👉 Check it out now: https://lnkd.in/eYAuzVkp #AI #MachineLearning #LLMs #FineTuning #ArtificialIntelligence #NLP #HuggingFace #Innovation #TechLeadership
How to Fine-Tune LLMs with Unsloth and Hugging Face
ridgerun.ai
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🚀 Riding the RAG Wave? Make Sure You're Measuring It Right! 📏 Everyone’s talking about using Retrieval-Augmented Generation (RAG) to supercharge their LLM-based systems. But do you know how to evaluate RAG and measure its true performance? 🤔 In this post, we dive deep into effective ways to assess and quantify RAG system performance, breaking down the metrics and techniques you need to know for reliable results in Generative AI. 🧠📊 🔗 Check out the full article here for all the insights! 👇 https://lnkd.in/eiMijuYv #AI #MachineLearning #GenerativeAI #RAG #LLM #DeepLearning #AIResearch #DataScience #NLP #TechInsights #AIInnovation #EvaluatingAI #RAGMetrics #ArtificialIntelligence
How to Evaluate Retrieval Augmented Generation (RAG) Systems
ridgerun.ai
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🔒 Identity protection is a top priority as AI becomes more integrated into public spaces. A strong, reliable face-blurring mechanism is essential to safeguard privacy in AI-based solutions. Our latest face blurring library with tracking support ensures consistent privacy protection, giving your product a powerful edge in responsible AI deployment. Protect identities, enhance trust! Try it out now at 👉 https://lnkd.in/gxeR7udf
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Boost privacy protection with smarter face blurring! 🚀 Discover how adding tracking capabilities can elevate your face blurring to the next level, ensuring consistent and reliable privacy in every frame. Check out our latest advancements in face blurring technology and take censorship and privacy up a notch! Read more at 👉 https://lnkd.in/ga_Sh2HA
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🚀 Hey AI Enthusiasts! 🚀 The wait is over! 🎉 Our highly anticipated third chapter of the DVC Tutorial series is here! 📚💡 🔗 Dive in now: https://lnkd.in/em-rAuys In this edition, we’re taking a deep dive into experiment tracking with DVC—guiding you through each step to help you master tracking your Machine Learning experiments with ease. 🧠💻 Whether you're just getting started or looking to enhance your workflow, this blog has something for you! 🚀 #MachineLearning #DataScience #DVC #ExperimentTracking #AITutorial
Experiment Tracking with Data Version Control (DVC)
ridgerun.ai
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AI isn't just for scientists, engineers, and developers. CFO Magazine reports that the overwhelming majority of executives expect significant adoption of AI for their enterprise within the next three years. Business leaders, get started now with our resources for continuing education. Our developer center includes articles on introductory topics, including, "The Fundamental Differences Between Machine Learning and Deep Learning" and much more. Educational resources ⏩ https://bit.ly/4doCAxQ NVIDIA's insights for business leaders ⏩ https://bit.ly/4fM1Orl Stanford's 2024 AI Index Report ⏩ https://lnkd.in/eB6uVJZE #ai #tech #innovation #future
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Our founding is a story of how our commitment to seeking cutting-edge solutions brings continued opportunity to help clients thrive. We're ready to help you tell the next chapter of your story, no matter your industry. Work with us ⏩ https://bit.ly/3TCVGHK #ai #tech #innovation #future
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Retrieval-augmented generation (RAG) is a technique used to create a generative AI model that provides specific, tailored responses. For this reason, RAGs are often referred to as a key part of "Enterprise AI," or the comprehensive adoption of AI for a business. What a RAG can do for your business processes and strategy: 💻 Quickly retrieve and analyze key data from your servers 💻 Business and brand-specific customer support 💻 Quickly conduct research, create business forecasts, and get deeper CRM insights Find out more about how we can support your RAG development initiative ⏩ https://bit.ly/4cslOMM
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Success Story: How MTData Uses Computer Vision to Improve Driver Safety 🚛💡 Discover how one of our standout customers is leveraging computer vision to revolutionize telematics and make the roads safer for everyone. See how AI is steering the future of fleet safety! Read more here 👉 https://lnkd.in/e8QrwWNr #AI #ComputerVision #Telematics #RoadSafety #FleetManagement #Innovation #RidgeRun
Success Story: How MTData Uses Computer Vision to Improve Driver Safety
ridgerun.ai