training a model like Llama with 2.7 billion parameters outperformed a larger model like Vicuna with 13 billion parameters. Especially when considering resource consumption, this might be a good alternative to using a 7B Foundation model instead of a full-blown ChatGPT. The best price-to-performance base model for our use case turned out to be Mistral 7b. The model is compact enough to fit into an affordable GPU with 24GB VRAM and outperforms the other models with 7B parameters.

Comparison of LLM models for coding

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

Review of LLM specialized for code generation

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

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

Use the Bert model to train on Yelp dataset

Look for models that could be used in Newspeak

wat=wasm text format; sat=server to run wat; subo=project that oversees sat

https://www.linkedin.com/posts/shlomi-boutnaru-ba781811a_the-linux-process-journey-version-10-ugcPost-7032008720066691072-UTTP/

Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data

Style and Grammar Checker for 25+ Languages