Discussions
What Metrics Should Teams Track to Measure the Success of API Testing?
API testing has become a cornerstone of modern software development, especially as applications increasingly rely on interconnected services. To ensure quality and reliability, teams need more than just test execution—they need to track the right metrics that measure the effectiveness of their API testing efforts.
How Do Business Plan Writers Add Value Beyond Just Documentation?
I often hear entrepreneurs asking: “Why should I hire business plan writers when I can draft one myself?” At first glance, it feels like you’re only paying for someone to put words on paper. But in reality, professional business plan writers add far more value than just creating a document.
What is a Random Forest in machine learning, and why is it widely used?
Random Forest is a supervised machine learning algorithm that builds multiple decision trees and combines their outputs to improve accuracy and reduce overfitting. Each tree is trained on a random subset of data and features, which ensures diversity and prevents bias. For classification tasks, the algorithm uses majority voting, while for regression, it averages the predictions of all trees. Random Forest is widely used because it is robust, handles large datasets well, works with both categorical and numerical data, and provides high accuracy with minimal tuning. It is commonly applied in fields like finance, healthcare, and marketing for tasks such as fraud detection, disease prediction, and customer segmentation.
Importance of Photo Editing in eCommerce Success
eCommerce success depends on high-quality product images, seamless user experience, effective marketing strategies, competitive pricing, and strong customer trust and satisfaction.
How to get 2048 byte embedding for voyage-3.5 model?
Hi, I'm using Typescript library to get voyage-3.5 embedding. Despite the documentation contains description of output_dimension parameetr of a request, Typescript library does not support it. method embed() takes a VoyageAI.EmbedRequest type object which contains only input, model, inputType, truncation, and encodingFormat properties. There is neither output_dimension, nor output_dtype. Even if I try to create a request of any type and include output_dimension: 2048 in it, the embed method still returns 1024 embedding vector. How can I request a different embedding size?
too many concurrent streams
Running into too many concurrent streams exception -- I take that is a bit different than requests per minute or maximum tokens being exceeded. How many concurrent streams are allowed?
Is Voyage multimodal embedding api supports sinhala language?
I'm on a big, high accuracy needed project. so I want to know that voyage multimodal embedding api will do it's job with best performance for sinhala language
Is rerank-3 coming soon?
Lots of new stuff in the 3rd generation of embeddings like voyage-3-large, 3.5 series and contextual embeddings.
Multimodal Reranker
Is a multimodal reranker in the works?
I'm getting different embeddings for the SAME encoding
Here is my code