Explore >> Select a destination


You are here

codingrelic.geekhold.com
| | www.philschmid.de
6.3 parsecs away

Travel
| | This blog post is an extended guide on instruction-tuning Llama 2 from Meta AI
| | blog.paperspace.com
8.5 parsecs away

Travel
| | In this article, we will learn how to make predictions using the 4-bit quantized ?? Idefics-9B model and fine-tune it on a specific dataset.
| | blog.vespa.ai
8.9 parsecs away

Travel
| | Setup a custom Dataset, fine-tune BERT with Transformers Trainer and export the model via ONNX.
| | blog.mozilla.ai
58.9 parsecs away

Travel
| When it comes to using LLMs, it's not always a question of which model to use: it's also a matter of choosing who provides the LLM and where it is deployed. Today, we announce the release of any-llm, a Python library that provides a simple unified interface to access the most popular providers.