OpenAI’s MuseNet: It can create complex music with up to 10 instruments in numerous styles. TensorFlow and PyTorch: These are general libraries for machine learning that enable customization and training of models. Pro Tip: Pick tools that help you achieve your app’s goals. Magenta is amazing...
On the other hand, if going online, it would probably be nice to also have features such as OpenAI, ChatGPT, and (of course) Google Translate to auto-translate for you (which requires either an API key or OAuth2). On the note of online translation, I won't mention DeepL here other...
Most LLM's run onPython, a powerful language used for web development and data. So you need that installed so your system has the files. You could install Python yourself and dive into the weeds of installing the dependencies and environment, if you enjoy research and f...
K-Nearest Neighbour seems to perform better on the test data. DAY3:NewsGroup data classification Data obtained fromSKlearn inbuilt dataset Linkto python notebok In this execise the attempt is to classify a story into one of 20 different news categories, the dataset consist of 18000 newsgroups ...
Installlm-evaluation-harness:pip install -e 3rdparty/lm-evaluation-harness. On Python 3.10 you might need to manually install the latest version ofpromptsource:pip install git+https://github.com/bigscience-workshop/promptsource.git. Run evaluation with (more documentation at thelm-evaluation-harnes...
I will be randomly picking up datasets from the web and will be building a machine learning model using different types of Algorithms and build something cool. DAY1 : Boston house price prediction model Data obtained from kaggle Kaggle Notebook can be viewed here Link to python notebook ....