Storia AI的动态

Today, I came across an impressive presentation by Scott Penberthy The discussion highlighted how workflows serve as the modern micro services for AI, contrasting the traditional one-size-fits-all monolith model. What are your thoughts on this insightful perspective?

New Medium Article: "How to Distribute HuggingFace Models Across Multiple GPUs." I’ve just published the latest piece in my series on optimizing deep learning workflows. This time, I’m covering how to efficiently distribute Hugging Face models over multiple GPUs to boost your training speed and handle larger models. Catch the full guide here: https://lnkd.in/gsZ4e5uU Follow me on Medium for more such articles. Happy learning! #MachineLearning #DeepLearning #HuggingFace #PyTorch #MultiGPU #AI #Medium

Top 5 Machine Learning APIs Practitioners Should Know https://lnkd.in/dMvcj6Ub. Learn about machine learning APIs for datasets, models, web applications, free GPUs, and text, audio, and image generation.

Top 5 Machine Learning APIs Practitioners Should Know Learn about machine learning APIs for datasets, models, web applications, free GPUs, and text, audio, and image generation.

Top 5 Machine Learning APIs Practitioners Should Know Learn about machine learning APIs for datasets, models, web applications, free GPUs, and text, audio, and image generation https://lnkd.in/eM_tYSHy

Did you know that you can build generative Q&A over 10 million documents on a laptop in just 4 minutes? If you haven't explored this yet, check this blog by our AI engineer- Nicholas Meisburger and start experimenting today! #AI #LLM #GenAI #Openai #google #QnA

Hello, I’m sharing a post that explains how to set up a Kubernetes cluster with GPU resources. The post concludes with the deployment of Ollama, an application that exposes generative AI models, such as LLMs, via a REST API. Feel free to provide feedback by replying to this message or directly on my blog. ?? https://lnkd.in/enikbWW9 (I attest that the blog post and this LinkedIn message were written by a real human??)

?? Thrilled to share that my first Stable Diffusion tutorial is now live! In this tutorial, I walk through the process of deploying your own Stable Diffusion AI-powered image generator. It’s perfect for those curious about diving into AI, or for anyone looking to sharpen their tech skills. This guide also highlights the upcoming GPU Droplet from DigitalOcean, helping you harness its power to generate artistic images with various models. It’s just the start, and there’s more coming! I’m excited to contribute to the growing AI community, and I’d love to hear your thoughts! Feel free to reach out with any feedback?? #AI #StableDiffusion #Tutorial #GenerativeAI #GPUDroplet #DigitalOcean

Those of you who attended my sessions during the 'Build with AI' series of events already know I’ve been exploring some of the different use cases for RAG (Retrieval Augmented Generation) to empower developers by providing them with the tools and access to knowledge that would push them forward in their learning and development processes ??. A few weeks ago my latest article on my series of AI publications was released: “Your RAG-powered AI app in 50 lines of code!”. ?? In this article, I show you how to make an LLM give you insights into a company’s products by leveraging their public documentation website’s repository, everything within a few lines of code thanks to LlamaIndex, Ollama, and Qdrant. I briefly talk about the main concepts you need to keep in mind – without going into too much detail – because as I’ve said in the past, you should “leave the deep complex stuff for later” and focus on creating something that works first. I’d love to hear your feedback and see what you build using these technologies – that indeed run faster on specialized hardware, such as NVIDIA’s H100 or L4 GPUs, but can also run on consumer-grade CPU & GPU hardware (yes, even your Intel Corporation GPUs!). https://lnkd.in/gFvRTdFP #AI #DevRel #DeveloperAdvocacy #openSource #rag #llm

?? Breakthrough Announcement: ThirdAI Shatters AI Benchmarks?? Hot off the press! Thirdai's latest release just upped the ante on efficient document indexing. Compared on the colossal MSMarco BEIR Benchmark — the largest of its kind — we've not only met but exceeded state-of-the-art (SoTA) accuracy, and we've done it in record time. Imagine deploying a system with unparalleled precision in less time than it takes to finish reading this post. ?? Benchmarking the Future of Search We put our system to the test against the biggest names in the industry, and here are the groundbreaking results: - Elastic Search: Precision@1: 0.65 - Google T5-Base: Precision@1: 0.56 - OpenAI Ada: Precision@1: 0.81 - ThirdAI (Before Finetuning): Precision@1: 0.79 - ThirdAI (After Finetuning): Precision@1: 0.814 ?? ThirdAI's Unmatched Efficiency The efficiency of ThirdAI is unmatched, revolutionizing the landscape of AI-driven search systems. Not only does ThirdAI provide results comparable to the highest standards set by industry, but it also does so with a fraction of the resources and time. ?? From Benchmarks to Breakthroughs ThirdAI's latest achievement isn't just about numbers; it's a testament to our commitment to pushing the boundaries of what AI can achieve. By harnessing the power of finetuning, we've demonstrated that our system is not just another search or RAG engine — it's a continuously evolving AI system, designed to grow smarter with every query. ? Join the Revolution This is just the beginning. ThirdAI is on a mission to democratize access to powerful, efficient, and intelligent search systems. Whether you're a researcher, developer, or business leader, there's never been a better time to explore how ThirdAI can transform your work and insights. ?? Try it for yourself Want to check it out for yourself? Read the entire blog and try out the attached notebook to learn more about our groundbreaking technology and how you can leverage it to unlock new horizons of knowledge and innovation. #ThirdAI #AIRevolution #MachineLearning #AIInnovation #DataScience #BreakthroughAI