salesforce really seems to invest a lot of resources into coding focused applications for LLMs, which is of course great, especially as they seem very transpare

salesforce really seems to invest a lot of resources into coding focused applications for LLMs, which is of course great, especially as they seem very transparent, sharing both papers and usable implementations[0]. However, I feel that I am really starting to lose track over the differences in their releases (T5 vs T5+ vs Gen vs this), especially as they come so fast. Perhaps this reflects poorly on me, but I find it hard to really stay up to date with the consistent stream of preprints and releases (not just from salesforce) as it tends to take me a while before fully internalizing what makes the newest developments so special, so I was very happy to find that they added an overview that compares different supported models (including their releases) to the newest repo[1]. Of course, size does not correlate with performance, but it still helped me to get a better grip on what they mean by "one-stop Python transformer-based library for code large language models (Code LLMs) and code intelligence" and how that relates to existing models. CodeTF very grossly oversimplified, intends to make working with models, in a multitude of ways, easier. [0] https://github.com/orgs/salesforce/repositories?q=llm https://github.com/orgs/salesforce/repositories?q=llm [1] https://github.com/salesforce/CodeTF https://github.com/salesforce/CodeTF