Assistants API and Trulens Hackathon

Start

Hackathon Kick-Off - lablab.ai introduction

TruEra Opening Words

Hackathon Guide and lablab Platform Walk-through

Assistants API

by Anupam Datta, Co-founder, President, Chief Scientist at Truera

Workshop - Advanced Evaluation Methods with TruLens

by Laurie Voss, VP Developer Relations at LlamaIndex

Workshop  - Advanced RAG with agentic strategies with LlamaIndex

Prakul Agarwal, ML Product Manager at MongoDB

Workshop - Retrieval Augmented Generation with MongoDB

General Q&A session on Discord

Submissions Deadline

DataCraft Leaders

achraf

Warda

Abdessamad ANSSEM

Najam-ul-Hassan

CineLit Recommender is a cutting-edge application designed to revolutionize the way users discover and explore new books and movies. By harnessing the power of state-of-the-art recommendation algorithms, CineLit Recommender provides personalized and accurate suggestions that cater to users' unique tastes and preferences.

One of the standout features of CineLit Recommender is its intuitive search functionality. Unlike traditional search engines that require users to input specific keywords or titles, CineLit Recommender allows users to describe the book or movie they are looking for in their own words. This natural language processing capability enables users to interact with the app in a conversational manner, as if they were seeking recommendations from a knowledgeable friend.

For example, users can describe a movie they are in the mood to watch by mentioning its genre, plot elements, or even the mood they want to experience. Similarly, users can describe a book they are interested in by mentioning its themes, writing style, or even the emotions they want to explore. 

Moreover, CineLit Recommender's user-friendly interface makes it easy for users to navigate and discover new content. The app's sleek design and intuitive layout ensure that users can find what they are looking for without feeling overwhelmed. Additionally, CineLit Recommender's extensive database of books and movies ensures that users have access to a wide range of options, from classic literature to the latest blockbusters.

CineLit Recommender is an innovative app that simplifies the process of discovering new books and movies. 

"DataCraft Leaders team on Assistants API and Trulens Hackathon Hackathon"

Team Idea

Submission