Open source with lots of information. Uses Multiple undrelying models. Not sure how I would train for it

The Mixtral model is new, and seems to be good. Click on “Demo“ to test it

Article has comparison with other code-LLM models

Includes code generation models

Review of LLM specialized for code generation

List of LLM models on Wikipedia

Chat, models. Not open source, but instruct and relatively small (3B). The 3B instruct may be the best to try on Newspeak.

Main page of ChatGPT

Chat on Mistral. Does well on Python and Smalltalk

Their models are open source.

Model which generates code for Python, Javascript, Go, Shell, Perl, Swifg, Ruby, PHP

Chat with Huggingface's chat engine

Gemini chat from Google. Can generate Python and other other code.

Advanced coding Our first version of Gemini can understand, explain and generate high-quality code in the world’s most popular programming languages, like Python, Java, C++, and Go. Using a specialized version of Gemini, we created a more advanced code generation system, AlphaCode 2,

AI Code tools : Good summary. Does not talk about which pre-trained model they use. One is gemini (bard) -> alphacode2

Jupyter notebook to test Bert

Natural Languge processing - full course.

Best summary of Natural Language Processing and terms - model (a language model - e.g. BertModel, defines encoder and decoder and their properties), transformer (a specific neural network based on attention paper), encoder (series of transformers on input), decoders (series of transformers on output). Bert does NOT use decoder. TensorFlow and PyTorch are possible backends to Transformers (NN). Summary: BERT is a highly complex and advanced language model that helps people automate language understanding.

Simpliest start with ai. Use the Github code linked in

Use the Bert model to train on Yelp dataset

BigCode is an open scientific collaboration working on the responsible development and use of large language models for code

Hi level only talk about training for a language

My Account and profile on Huggingface - the home of AI transformers, models, training sets

Describes how to train a new language (desperanto) model.

Buy his book from 2008

The secret, he found, was to stick the particle in a “disordered” quantum landscape, one dotted with peaks and valleys. Each location would have a random height, representing a random energy. In a real material, this disorder might come from impurities such as missing atoms or atoms of different elements.

Sometimes a 'read-only' text property is stuck, and we cannot edit a file. This is the reason.

Thread Reader on any Twitter account that publishes it. Does NOT neew Twitter login.