Labelbox

Labelbox’s Python SDK provides AI teams with a powerful approach for orchestrating human data labeling projects. In our latest guide, we’ll walk through how to harness the Python SDK to manage human data labeling jobs for RLHF and evaluation. With just a few steps you can set up the SDK to: ⎆ Easily import a wide-rang of data types. 🚀 Launch, monitor, and export labeling projects programmatically. 👑 Ensure data quality with access to labelers with specialized knowledge, including medical experts, language specialists and other certified specialties.

Text-to-Speech (TTS) models are essential tools in today’s digital world, enhancing everything from accessibility to customer service automation. Our latest guide offers a deep dive into evaluating the top TTS models, including Google TTS, Amazon Web Services (AWS) Polly, and OpenAI, using key metrics like Word Error Rate (WER) and human preference ratings. Discover how we thoroughly assessed these models across various dimensions, including speech naturalness, pronunciation accuracy, and context awareness, to help you choose the best solution for your needs. Whether you’re generating voiceovers or automating customer interactions, our comprehensive guide provides the insights you need to elevate your TTS projects. 🔗 Link: https://lnkd.in/e5ZVrb8h #genai #labeling #evaluation #llm #llmops #texttospeech #tts #googletts #aws #awspolly #openai

Developing high-quality Retrieval-Augmented Generation (RAG) applications can be challenging, especially when it comes to evaluating the accuracy of responses. Our latest blog post explores a metrics-based approach to RAG development, focusing on key evaluation metrics like context recall and context precision. We dive deep into the process of generating ground truth data, both manually and synthetically, and how these methods impact the reliability of your RAG models. By leveraging the Labelbox platform, you can optimize your RAG applications, improving everything from chunking strategies to embedding models. Link: https://lnkd.in/exEbvxZ6 #rag #retrievalaugmentedgeneration #llms #llmops

Text-to-Speech (TTS) models are essential tools in today’s digital world, enhancing everything from accessibility to customer service automation. Our latest guide offers a deep dive into evaluating the top TTS models, including Google TTS, Amazon Web Services (AWS) Polly, and OpenAI, using key metrics like Word Error Rate (WER) and human preference ratings. Discover how we thoroughly assessed these models across various dimensions, including speech naturalness, pronunciation accuracy, and context awareness, to help you choose the best solution for your needs. Whether you’re generating voiceovers or automating customer interactions, our comprehensive guide provides the insights you need to elevate your TTS projects. 🔗 Link: https://lnkd.in/e5ZVrb8h #genai #labeling #evaluation #llm #llmops #texttospeech #tts #googletts #aws #awspolly #openai

📍 Discover how to choose the perfect large language model for your pre-labeling tasks by diving into our "Needle-in-a-Haystack" experiment. Selecting the best large language model (LLM) for pre-labeling tasks is vital for maximizing efficiency and accuracy and there are a ton (like OpenAI's GPT-4o, Google DeepMind's Gemini 1. 5 Pro & Flash, and Anthropic's Claude) . Our latest blog post dives into the "Needle-in-a-Haystack" test, a specialized method for evaluating LLMs in identifying specific elements within large datasets. 🔗 Read here: https://lnkd.in/eEeRTDSC #genai #multimodal #foundationmodels #llms #alignerr #rlhf #rlaif #llmops #modelevaluation #GeminiPro #Gemini #GPT4o #GPT #ClaudeSonnet #Gemini15 #needleinahaystack

Below is a simplified demo I put together using Labelbox to show how analysts might have used satellite imagery from SkyFi to estimate Tesla's unsold inventory of cars a couple of months back (ref - https://lnkd.in/g6gaGd5f). Using an existing experiment model in Labelbox, I estimated that airports on an avg. have between 8 to 10 flights parked at any time of the day. The model had an accuracy of 92% for airplanes, but not so much for other objects detected. Understandably so because of its larger size and distinct shape that can be more easily detected by models. While the cost of satellite imagery has come down considerably in recent years, running large-scale analytics on it has remained largely cost-prohibitive for most organizations except government, military and hedge funds/private-equity. But with advancements in generative AI, I believe this could change soon and democratize access to intelligence even for the most complex remote sensing data available (ref. demo to learn more - https://lnkd.in/gNxfaRE6) #computervision #satelliteimagery #remotesensing #generativeai #artificialintelligence #ai

📢 Exciting news! Meta + AI at Meta FAIR ’s Segment Anything 2.0 is now available in the Labelbox Image Editor. 🖼 In our latest blog post, discover how SAM 2 and Labelbox are revolutionizing image and video segmentation: ✔ Harness SAM 2’s enhanced real-time object segmentation for images and videos ✔ Achieve superior segmentation accuracy with fewer interactions and faster processing ✔ Leverage Labelbox's platform to seamlessly integrate cutting-edge AI into your workflows 🔗 Read here: https://lnkd.in/ed48ZhNC #genai #computerVision #meta #SAM2 #labelbox

📏 Discover how to employ a more comprehensive approach to evaluating leading text-to-image models using both human preference ratings and automated evaluation techniques. As text-to-image AI models continue to evolve, it's become increasingly important to develop robust evaluation methods that can assess their performance across multiple dimensions. We demonstrate our methodology using the top 3 leading text-to-image models - DALL-E 3, Stable Diffusion, and Imagen 2. 🔗 Read here: https://lnkd.in/eR46HXRq #genai #imagen #dalle3 #stablediffusion #texttoimage #generativeai #ailabs #foundationmodels #evaluation #rlhf #rlai

👉 Discover how to employ a more comprehensive approach to evaluating leading text-to-video models like Runway, Luma AI, Pika using human preference ratings. 📏 In this guide we discuss the different criteria in evaluating text-to-video models, discuss the strengths and opportunities of the most popular text-to-video models, and demonstrate how our Alignerr workforce is pushing the boundaries of innovation for AI labs. 🔗 Read here: https://lnkd.in/ePc-vGp4 #genai #multimodal #foundationmodels #texttovideo #runwayml #lumalabs #pikaml #alignerr #rlhf #rlaif

Struggling with slow data labeling for your AI projects? Watch our new Google Cloud[TAG] Marketplace video to see how Labelbox and #VertexAI can accelerate the process. Learn how #Labelbox leverages powerful foundation models like Gemini for pre-labeling your training data. This boosts the quality and speed of your entire data preparation and model training pipeline! Ready to unlock faster, smarter data labeling? Watch the video to learn how Labelbox and #GoogleCloud can transform your #genAI development: https://lnkd.in/eX7k9MQQ