iMocha is a skills intelligence and assessment platform that enables talent teams to make smarter talent decisions. More than 300 organisations in 70+ countries are using iMocha’s platform to acquire job-fit talent faster and in measuring the ROI from their talent development initiatives. The platform comes with innovative features to conduct asynchronous interviews, AI-LogicBox (AI-based pseudo-coding simulator), AI-powered language analyser, skill benchmarking, talent analytics, and custom assessment consulting etc. Enterprises from IT/ITeS, Telecom, Banking, Financial and Insurance services, Engineering, and Healthcare verticals are using iMocha’s assessments for technical, functional and soft skills leveraging the world’s largest skill library comprising 2500+ skills across over 300 job roles.
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Hugging Face account with a read-only API token. You will use this to fetch the models that vLLM will run. You may also need to accept the terms and conditions or usage license agreements associated with the models you intend to use. In some cases, you may need to request access to the model from the model owners on Hugging Face. For this guide, make sure you have accepted any terms required for the... - Source: dev.to / 6 days ago
This template ships with Google Gemini models/gemini-1.0-pro-001 as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, Hugging Face, or using LangChain with just a few lines of code. - Source: dev.to / 8 days ago
I wanted to get a project for running my own pipeline with somewhat interchangeable parts. Models can be swapped around so that you can make the most of the latest models either available on Hugginface, OpenAI or wherever. - Source: dev.to / about 2 months ago
Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 21 days ago
While looking into how to create text embeddings quickly and directly, we discovered a few helpful tools that allowed us to achieve our goal. Consequently, we created an easy-to-use PHP extension that can generate text embeddings. This extension lets you pick any model from Sentence Transformers on HuggingFace. It is built on the CandleML framework, which is written in Rust and is a part of the well-known... - Source: dev.to / 27 days ago
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