Menu

Hackathon Challenge:

OpenAI Assistants API Llama-Index/MongoDB

In this hackathon, you will build and iterate on an LLM-based application using AI observability to validate the performance of your app.

You can choose between two sets of tools for building your app:

Tool set 1: The OpenAI Assistants API

Tool set 2: Llama-Index, MongoDB and GPT-4.

With either choice, you will use TruLens to validate and improve the performance of your application. By bringing together TruEra, OpenAI, Llama-Index, and MongoDB you have the bleeding edge tools at your disposal for building AI applications.

Your challenge is to build a high performing application leveraging either set of tools and validate its performance on key tasks using TruLens. This requires creating a TruLens evaluation suite on the key axis of your app’s performance. If the evaluation identifies failure modes on the app’s critical path, use TruLens to debug and improve your app. Visit lablab.ai to learn more

Related articles

RAGE for LLM as a Tool to Create Reasoning Agents as MASTERMIND

Introduction: article created as first test of GPT-RESEARCHER as a research tool The integration of Retrieval-Augmented Generative Engine (RAGE) with Large Language Models (LLMs) represents a significant advancement in the field of artificial intelligence, particularly in enhancing the reasoning capabilities of these models. This report delves into the application of RAGE in transforming LLMs into sophisticated reasoning agents, akin to a “MASTERMIND,” capable of strategic reasoning and intelligent decision-making. The focus is on how RAG […]

Learn More
Socratic Reasoning

Understanding SocraticReasoning.py

understandin the ezAGI framework requires a fundamental comprehension of reasoning with SocraticReasoning.py disclaimer: ezAGI fundamental Augmented Generative Intelligence may or not be be fun. use at own risk. breaking changes version 1 To fully audit the behavior of how the premise field is populated in the SocraticReasoning class, we will: SocraticReasoning.py Audit Initialization and setup of SocraticReasoning class Adding Premises Programmatically Adding Premises Interactively Now, let’s look at the interactive part of the interact method: […]

Learn More

easyAGI: Augmenting the Intelligence of Large Language Models

easy augmented general intelligence In the rapidly evolving field of artificial intelligence, the concept of Autonomous General Intelligence (AGI) represents a significant milestone. However, the journey towards AGI is complex and requires innovative approaches to streamline and simplify the development process. Enter easyAGI, a transformative framework designed to augment the intelligence of existing Large Language Models (LLMs). This article explores the core aspects of easyAGI and its impact on the landscape of AGI and LLMs. […]

Learn More
Close Menu