- Bioinformatics ML
- NLP for academic notes, learning and productivity
- ML Python frameworks
- Blogging about this kind of contents (on CoderLegion: https://coderlegion.com/user/Astra+Bertelli; on DEV Community: https://dev.to/astrabert)
🤖 Would you like to chat with Groq, Anthropic, OpenAI and Cohere models? Now you can comfortably do it on Hugging Face Spaces! 💬 I'm thrilled to introduce you: as-cle-bert/chat-with-em, the Space that lets you build a customizable chat model by specifying system instructions, temperature and maximum number of output tokens 🦜🔗 Thanks to LangChain, you can easily choose and switch among Claude models, Command-R, GPT-3.5, GPT-4o, Llama-3-8B, Llama-3-70B and Mixtral 8x7b: you just need to provide an API key!
🌍 As we all know, Planet Earth is undergoing an unprecedented climate crisis, almost totally due to human activities: we haven't got much time left before it's too late to take action, and one of the key fields where we need to urgently operate are climate-aware financial investments... 🤖 ... And that's where AI comes into the play: we can indeed try to leverage, tweak and expand its knowledge in the field to extract valuable climate-aware solutions. 🤗 I tried to make something alike: exploiting climatebert/tcfd_recommendations as knowledge base, Qdrant Cloud as vector store service and microsoft/Phi-3-mini-128k-instruct as LLM (provided via API from eswardivi/Phi-3-mini-128k-instruct by @eswardivi), I built an AI assistant to help you find climate-oriented solutions for your investments, companies, or simply for your everyday life🎒. Find it here: as-cle-bert/cLLiMateChat
PS: 🌱Curious of knowing what is your carbon footprint? Head over to this ML-backed HF Space I built to discover it: as-cle-bert/carbon-footprint-predictor