Version 0.12.0 of the skforecast Python library for time series forecasting with regression models was released this week. The release includes new features, updates for existing ones, and bug fixes. 🧵👇🏼
Join #PyData#Pittsburgh for a casual gathering of the local, national, and international PyData community on the sidelines of #PyCon US 2024! Meet up with fellow #DataScience, #MachineLearning, and scientific computing enthusiasts when the world's largest Python conference comes to town.
Today I learnt about Masakhane, a 'grassroots NLP community for Africa, by Africans', helping make sure that the 2000+ languages and related names and cultures in the continent are represented in technology https://www.masakhane.io/#NLP#AI#MachineLearning#language
On June 15th, my colleague Mónica and I from @EA SEED will be presenting some of our work on #MachineLearning tools for #GameAudio at #AESEurope in Madrid. Really looking forward to visiting UPM again!
Would be nice to have a LLM that you can train locally with your organization documentation, to be able to have an interface to easily find that information buried in decades of documents #LLM#MachineLearning#documentation#FOSS
Die 1. Sitzung ist wieder ausgewählten Abschlussarbeiten gewidmet:
Julia Pabst untersucht, wie #MachineLearning in der #Epigraphik zur Identifikation von Wappen & Inschriften eingesetzt werden kann & Lukas Germann widmet sich den Herausforderungen der Analyse von #Twitter-Daten.
Here is a great summary or glossary doc about LLM by Aman Chadha. This long doc provides a summary of some of the main concepts related to LLM. This includes topics such as:
✅ Embeddings
✅ Vector database
✅ Prompt engineering
✅ Token
✅ RAG
✅ LLM performance evaluation
✅ Review main LLMs
Please boost for reach if this kind of stuff interests you. Will post more on this later.
Once upon a time, there was a cool emulator frontend called Retroarch. This emulator wasn't accessible until I and a few other gamers went to them and asked about adding accessibility. An amazing person known as BarryR made it happen. Now, if you turn on accessibility mode in settings, or pass the "--accessibility" (or something like that) flag on the command line, you get spoken menus, including the emulator's pause menu, good for saving states and such. Then, using PIL and other image processing Python utilities, running a server and hooking into Retroarch, the script allowed players to move around the map, battle, talk to NPC's, ETC. The only problem was, no one wanted to test it. The blind gaming community pretty much spoke, saying that we want new games. We want cool new, easy accessibility. So that's what we have no, follow the beacon or get sighted help in the case of diablo and such. It's sad, but meh. It's what we wanted I guess. No Zelda for us. So, this is about as far as he got:
To expand on what devinprater was saying: I am working on an accessibility pack/service for Final Fantasy 1 for the NES (this was what was shown in the latest RetroArch update). The idea is similar to how Pokemon Crystal access works, but it's using the RetroArch AI Service interface to do so.
Right now, the FF1 access service is mostly done, but I need more testers to try it out and give me feedback on how it's working. Right now, you can get up to the point where you get the ship, but there's no code to deal with how the ship moves, so that still needs to be done. Likewise with the airship later on.
The service works the latest version of RetroArch, on linux and mac, but not windows. This is due to how nvda reads out the text and until the next major update to nvda (which will have a feature to fix this), it'll have to wait. If you have those, I (or maybe devinprater) can help you set it up on mac/linux to test out. The package itself is available at: https://ztranslate.net/download/ff1_pac … zip?owner=
Version 1.7.1 of the NeuralForecast #Python library was released last month by Nixtla. The NeuralForecast library, as the name implies, provides a neural network framework for time series forecasting. 🧵👇🏼
Wie wird #KI & #MachineLearning die Software-Entwicklung beeinflussen? Diskutiert mit bei der uphillconf 2024, die wir als Bronzesponsor unterstützen. Es sind nur noch wenige Workshop-Tickets verfügbar! https://www.uphillconf.com/