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"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.
This project integrates LangChain v0.2.6, HuggingFace Serverless Inference API, and Meta-Llama-3-8B-Instruct. It provides a chat-like web interface to interact with a language model and maintain conversation history using the Runnable interface, the upgraded version of LLMChain. LLMChain has been deprecated since 0.1.17.
AI Text Summarizer App - Quickly generate concise summaries of lengthy articles, research papers, and other documents using advanced AI technology. Improve your productivity and save time with our easy-to-use summarization tool. Perfect for students, researchers, and professionals. Try it now!
In this project I have built an end to end langchain project using hugging face open source llm models such as Mistral and also open source embedding models.
Developed a web-based AI image generator application that utilizes Hugging Face's Machine Learning/Artificial Intelligence model API to generate four unique images based on descriptive user-provided text prompts.
This project explains "prompt engineering," a key technique for guiding AI models to desired outputs in tools like chatbots and text summarizers. It highlights the importance of clear instructions and techniques like CoT Prompting for effective communication with large language models. The project also introduces the Langchain library✨.