Llama 2 Hackathon with Clarifai

Join us for opening inspirational Talks and Hackathon Guide.


Hackathon Kick-Off Stream

Let's go through the Technology for the Hackathon and how you can get access to it.

Technology and Challenge

Learn about Clarifai's capabilities and what the Hackathon hopes to achieve. Join Matt Zeiler, Founder & CEO of Clarifai, as he shares his enthusiasm for the upcoming creations.

Clarifai Onboarding with Matt Zeiler

We will guide you through the website, and Discord community - to make sure you will succeed at the Hackathon

Hackathon Guide

Join Ian Kelk, our Product Marketing Manager, for a swift platform walkthrough, model highlights, and workflow chaining insights. Ensure your account matches your lablab.ai email beforehand!

Clarifai Onboarding with Ian Kelk

Delve into the techniques of using Clarifai's UI modules to design a 'Llama 2' application with guidance from Ian Kelk, Product Marketing Manager at Clarifai. Gain invaluable insights from his hands-on experience.

Clarifai Llama 2 App Creation Workshop

After the Kick-Off stream, focus on finding your team for the Hackathon and start brainstorming your idea!

Team Formation time!

Join Q&A space on lablab.ai Discord server for open session to discuss any questions you may have.

Open Q&A with mentors

To secure free access to Clarifai for the Hackathon, you must register on the Clarifai platform prior to the Kick-Off stream, with a strict cutoff at 20:00 CET. After this deadline, free access will not be available.

Deadline to get access to Clarifai platform!

Submission Deadline

Team IntrospectX: Clarify + Streamit + Langchain + Vectordb

introspector

jmikedupont2

IbrahimLaeeq

Zain-Ramzan

In response to the demand for customizable AI assistants, we propose a solution leveraging the Clarifai platform. This involves developing adaptable workflows and models to overcome limitations of rigid approaches.

Key technical elements:
1. **Workflow Generation:** A dynamic engine constructs workflows based on intuitive emoji sequences, enabling complex mathematical logic execution.
2. **Metadata Ingestion:** Our solution processes diverse enterprise data, enhancing AI's contextual understanding beyond images.
3. **Prompt Engineering:** Specialized models for domains and tasks using techniques like prompting and fine-tuning.
4. **Orchestration:** An end-to-end framework manages workflow generation, data ingestion, model training, and execution.

Implementation:
- Clarifai clients, APIs, and gRPC for scalability.
- Kubernetes-based microservices for workflow steps.
- CI/CD via GitHub Actions, facilitating versioning and testing.
- Monitoring with Grafana, Prometheus, and Sentry.
- Caching strategies for performance optimization.
- Airflow for workflow pipelines.

Context:
- Users: Data scientists, ML engineers, SWEs.
- Industries: Finance, insurance, healthcare.
- Use cases: Personalized recommendations, customer service automation.

Next Steps:
- Develop MVP workflow generator.
- Ingest sample metadata for data processing.
- Curate prompts and fine-tune models.
- Scale tests on larger datasets.
- Establish CI/CD pipeline.
- Implement monitoring and instrumentation.
- Iterate for continued enhancements.

Our solution aims to revolutionize AI assistance for enterprises, driven by Clarifai's platform and innovative technical approaches, offering flexibility and efficiency in workflow development and execution.

Leveraging Clarifai's platform to build flexible AI workflows for enterprise data. Customizable, efficient, and tailored to business needs.

"introspector team on Llama 2 Hackathon with Clarifai Hackathon"

Team Idea

Submission