Hello all! I am using mistral model for building a chatbot assistant. I am facing problems with the accuracy of the model. Sometimes it doesn't it respond with the retrieved context from the documents and just gives info from outside rag, and it doesn't stick to the prompt guideline after 5 queries. It's really frustrating I've tried changing the prompt style and even tried prompt chaining but the quality of the response is very low. What's the solution for this? Or have you faced a similar problem?

I want to give back to this community. So if you have a question or anything you need help with (Mostly on the Developer part, since I'm an engineer) Feel free to reach out! So what makes me capable of helping you? I have been an engineer for the past 5 years, and have done many complicated tasks, especially within Machine learning, here is my latest projects: 1️⃣ Reinforcement Learning Agent – Developed an RL-based system to optimize water consumption and reduce costs for a water supply company, achieving significant improvements in resource management. 💧💡 2️⃣ LSTM-based Neural Network for Exoskeleton – Designed an advanced LSTM model for controlling exoskeletons with multiple degrees of freedom, enhancing precision and movement capabilities. 🤖💪 If you’re facing a tough challenge, feel free to reach out. I’m here to help!

I need to build a rag based document retrieval llm, with the following features. I am having difficulty in coding it, because of the multiple dependencies and package versions, so if anyone has any reference code that I can use, it would be helpful. Features: - It must give information strictly from the documents only and not from the internet - It must give sources such as page number and document at the end of each response - It must be able to accept text, audio and images as input - It should very accurate in it's response giving information from the document chunks - The documents knowledge base should support PDF, audio and video formats as well. - This one I find very tricky, the bot must probe the user to explore more topics based on question, or probe the user if the query is very vague or hard to understand. - Other features like chat history, search through chats etc must also be there. I would appreciate the support!

Hi guys! I’ve completed the Kaggle first tutorial on programming and I feel like all the info went right over my head. Anyone feel the same way? Or have constructive learning tips?

Someone posted this image on LinkedIn. I found it hilarious.