In the class "Building Applications in LLM", there is a lesson regarding OpenAI function calling. Since openAI is not paid, I have tried to simulate the same behavior for Hugging Face Mistral model. However HuggingFace, as of now does not support function calling from models. A round about way of doing it is to input a system prompt based on user prompt. This system prompt will generate output as JSON, which can then be used for function calling. https://github.com/salonibhagwat/AI_Projects-main/blob/main/AI_Projects-main/openai-functions/HuggingFace_function_calling.py Please check this file for the code. Please share your feedback.

Hi Alchemy community, Such great honor to be here. I bring you greetings from Nigeria, am currently a data analyst but also an aspiring AI Engineer. Kindly like this post so a can gain more points and proceed in my pursuit of AI knowledge. Thanks a million.

There are lots of ways you can create extra income with data & AI skills. You hear me talking a lot about freelancing, which is what I've been doing for the past 5 years, but there are many more ways you can get started. 🛠️ In his latest video, fellow AI entrepreneur and friend Liam Ottley shares 5 business models for you to consider, also giving a shoutout to our community and Data Freelancer. It's a long one, but it's packed with value, so if you want to explore the entrepreneurial side of AI, make sure to give the video a watch! ▶️

Finally 🥳 I did not see that coming https://docs.streamlit.io/develop/concepts/multipage-apps

Hei there, nice to read all of your contents and call to actions! I just wanted to share with the Data Alchemy community that in the last months I had the opportunity to work quite a lot with streamlit for developing generative AI web apps front-end. I'd be happy to help if any of you "stumbled" in such a need recently 😅 and wants to catch-up 😉