Labelbox

In this CVPR 2024 recap, we cover our learnings from the conference representing the pulse of the State-of-the-Art, conversations overheard at the booth, the best workshops according to our visitors, and provide our take on what the next 6-9 months will bring (hint: "high-quality data for generative AI systems". 🔗 Blog post: https://lnkd.in/ebweJay6 #cvpr2024 #multimodal #generativeai #computervision #cvpr #recap

Manas Talukdar, Director of Engineering at Labelbox – Driving Innovation in AI: Harnessing Multi-Modal Language Models to Transform Enterprise Solutions and Redefine Customer Interactions Across Industries - An article by Flor Laorga #AItimejournal #engineering #innovation #AI #artificalitelligence Read the article: https://lnkd.in/evd_f4-Z

We are live at #cvpr2024! Drop by our booth to learn how AI labs and enterprises building generative AI can accelerate multimodal development by tapping into a network of skilled labeling experts to produce high-quality data through better quality and control. Whether it's through RLHF or advanced tooling to compare and evaluate custom models alongside the latest multimodal models, happy to walk through your use case and chat about how Labelbox can help.

Today, we're excited to announce the availability of Labelbox’s new comprehensive multimodal chat solution. The new offering includes advanced tooling and managed services to help you create, evaluate and optimize model responses with support for text, images, video, documents and more. Companies positioned at the forefront of generative AI have two critical requirements: 🧠 Frontier model builders need access to managed labeling services that can quickly generate powerful, multimodal data sets for RLHF and model tuning from a large network of highly-skilled and specialized subject matter experts. 🚀 Digital-native enterprises with task-specific AI initiatives depend on advanced tooling to compare and evaluate their custom models alongside the latest multimodal models in a live, multi-turn environment. They also need to be able to orchestrate advanced workflows, leverage AI-assistance to accelerate labeling, and collaborate within a single, open platform. That's exactly the problem we're tackling with the multimodal chat solution that is supported by our new highly-skilled Boost Workforce experts. The solution makes it easier for teams to iterate quickly with real-time, granular visibility into labels and data quality, while being able to tap into diverse pools of expertise in order to improve the underlying data and model performance. Learn more in the post to discover how Labelbox’s new multimodal chat solution can elevate your GenAI development. #genAI #CVPR2024 #artificialintelligence

Heading to #CVPR2024 in Seattle next week? Make sure to drop by our booth to chat about all things computer vision and multimodal genAI development. As a sneak peek, we'll be showcasing the latest Labelbox products that can help teams accelerate computer vision use cases through AI-assisted data labeling, as well as how teams can deliver genAI innovation with advanced multimodal & multi-turn model evaluation.

We're super excited to meet with many AI + ML practitioners and leaders this week in SF at Databricks Data + AI 2024! 🚀 If you're attending the show, Mark Ghannam and the Labelbox team would love to meet up in person to chat all things #GenAI development and how to build better AI products by combining Databricks and Labelbox. #DataAISummit #Databricks #AI #DataScience

We're super excited to meet with many AI + ML practitioners and leaders this week in SF at Databricks Data + AI 2024! 🚀 If you're attending the show, Mark Ghannam and the Labelbox team would love to meet up in person to chat all things #GenAI development and how to build better AI products by combining Databricks and Labelbox. #DataAISummit #Databricks #AI #DataScience

It's Friyay! And that means the start of weekend side-projects and trying out multimodal models like Gemini to create your next cinematic masterpiece (or *spruce* up the most recent trip videos to Bora Bora). In this guide we cover an important requirement of many multimodals, which is ensuring the videos are 1 frame-per-second. We also cover: 1️⃣ How to convert videos to 1 FPS for optimal processing with Gemini 1.5. 2️⃣ Two approaches for uploading videos to Catalog. 3️⃣ Detailed steps to prepare your videos for inference. 4️⃣ Key considerations for choosing the best approach for your project. 🔗 Read the post here: https://lnkd.in/eP9GEsaq #computervision #labeling #ml #machinelearning #deeplearning #ai #videoprocessing #gemini #multimodal

Craftsmanship is one of our core values at Labelbox, demonstrated by our world-class engineering organization and the way we design (and implement!) a security-first platform for labeling, evaluating, and curating data. In this video engineer Midhun covers key topics such as platform security, SDK usage, enhanced API key control, admin roles and permissions, and how to handle insufficient permissions errors. Join the conversation in our community here: https://lnkd.in/eAeYxJGk