LLM-based recommendation engine

I am a skilled developer with experience in generative AI, specializing in the implementation of LLM-based recommendation engines. I am well-versed in deploying models into production and optimizing them using RLHF techniques. I am eager to contribute to your project and deliver a high-quality MVP prototype within the specified timeframe. Requirements fulfilled: 1. Evaluate and select an appropriate LLM model: I will carefully assess available LLM models and choose the one best suited for your recommendation system's requirements. 2. Deploy the selected model into production: I have a proven track record of deploying models efficiently into production environments, ensuring seamless integration for real-time recommendation generation. 3. Create a workflow for fine-tuning/improving the model: I will establish a robust workflow for continuous improvement, incorporating RLHF techniques to enhance the recommendation system's performance over time. I understand the urgency of your project and am committed to delivering results promptly. My expertise in generative AI and recommendation systems aligns with your needs, and I am excited about the opportunity to contribute to the success of your project. Please consider my proposal, and I look forward to discussing the details further. Regards, KriraAI Infotech

Hi, I will create an LLM-Based recommendation engine to generate personalized shopping feeds based on a given users profile. It will be integrate able for real-time use. I have already worked and collaborated in development of recommendation engines using Machine and Deep Learning based on Collaborative and Content Filtering. I have also implemented this type of (small-scale) engine using K-NNs. In my current company we implemented a Hybrid Technique that combines both Collaborative and Content based Filtering approaches to combine the strength of both. But you might say that you want an LLM based recommendation-engine, I get it. Here is what you will get if you decide to go with me: * The best Foundation Model for recommendation system after evaluating open-source LLMs * I will also make use of industry best practices and standards while incorporating LLM for recommendation engine. * I will implement Reinforcement Learning to improve our system over time. Lets discuss this over chat :)