π I'm thrilled to announce the launch of Arcee Conductor, a game-changing platform that's about to revolutionize the way you interact with AI models! π€ As the pioneers of small language models (SLMs), we've been working tirelessly to bring you the most exciting innovation in the AI space. Here's a quick TL;DR of what Arcee Conductor is all about:
π Choice and flexibility: Get access to multiple models, including our powerful SLMs and third-party LLMs, to choose the best one for your specific use case π€ Intelligent routing: Our platform evaluates which model is best-suited for each of your queries, ensuring you get the most accurate results π Cost savings: Reduce your AI costs with our affordable SLMs, while still having access to leading LLMs when needed π Easy to get started: Sign up now and try Arcee Conductor today, with 400 million tokens (a $200 value) on us! π π Proven track record: Our SLMs have already racked up 222K+ downloads on Hugging Face, with customers seeing significant cost savings and improved accuracy
For a limited time, you can get $200 credits to use with Conductor for FREE. Check it out here: https://conductor.arcee.ai
Train almost any model on a variety of tasks such as llm finetuning, text classification/regression, summarization, question answering, image classification/regression, object detection, tabular data, etc for FREE using AutoTrain locally. π₯ https://github.com/huggingface/autotrain-advanced
INTRODUCING Hugging Face AutoTrain Client π₯ Fine-tuning models got even easier!!!! Now you can fine-tune SOTA models on all compatible dataset-model pairs on Hugging Face Hub using Python on Hugging Face Servers. Choose from a number of GPU flavors, millions of models and dataset pairs and 10+ tasks π€
To try, install autotrain-advanced using pip. You can ignore dependencies and install without --no-deps and then you'd need to install some dependencies by hand.
π¨ NEW TASK ALERT π¨ Extractive Question Answering: because sometimes generative is not all you need π AutoTrain is the only open-source, no code solution to offer so many tasks across different modalities. Current task count: 23 π Check out the blog post on getting started with this task: https://huggingface.co/blog/abhishek/extractive-qa-autotrain