For some individuals, you may want to run a GPT on your local machine for a number of reasons. 1) You can't pay for or acquire a chatGPT membership 2) You may need to sometimes work offline 3) You are working on a super secret business idea and you don't want a corporation on the other end There are at least a couple of options you can run locally, they in turn allow a choice of open source LLMs from Hugging Face. Just note this requires a fairly recent machine for decent performance, but not a GPU. A good open source LLM is Falcon. Here are some free options. LM Studio https://lmstudio.ai/ GPT4ALL https://gpt4all.io/index.html?ref=dataphoenix.info Hugging Face (for LLMs) https://huggingface.co/ Hope this is useful to someone. 🙂

Hi all, Although I'm technically on holidays I've spent the last few days getting into LangChain because it looks like a good place to learn how to start building things. I've completed a bunch of tutorials and I'm coming up with ideas to implement. In order to learn it better I decided to write up some study notes. https://github.com/unbendablegumby/AIStudyNotes/blob/main/LangChain%20Study%20Notes.md If you have a look at the notes, please feel free to offer any comments. I plan to write these up regularly as I continue studies over the holidays. Down the track I am thinking of doing some content creation and I think this will be a good way to learn. Merry Christmas Everyone🥳

G’day all! Very new to this whole thing from a technical perspective but have more than a few years’ experience in cyber security to looking forward to exploring the cross section between AI and cyber security. Hit me up if you want to collaborate! Cheers!

If you're like me, and you don't know Javascript, HTML or CSS, but still want to build chat applications, then I've got an exciting new video for you. This week, I explore how you can build a ChatGPT clone using only Python. We accomplish this by using the Streamlit library, which you easily install via pip. Streamlit recently added chat modules that let you spin up simple chat interfaces in minutes. The library is perfect for GenAI demos, small projects, or data upload GUIs for RAG applications. Go check out the video and leave a like! 🙏🏻

Many years ago when I was taking my first programming course (C+), a fellow student said there are two types of students 1) those who love programming, and 2) those who "want" to love it. I did not feel like I was of the former, but his statement likely impacted me so I did not feel like programming was "for me". I firmly believe now that whatever we DO with our time, we will become better at, and whatever we spend our time doing (and feel the satisfaction of getting better), we will enjoy more, and even come to feel "love" for. I am excited to say that I am 50% through the Python course (as part of Data Alchemy's HW). Still plugging away! To anyone who may not feel like coding is "natural" to them, I feel the same way most of the time, but I also enjoy when I "get" a code on the first try! Programming is not going anywhere, so we who are working towards having an understanding of it, will be in a much better position to help others (and the world) than those who do not understand it! Keep pushing through! Consistency is key!