Anthropic AI Hackathon

You have one last chance to register for the event, and be the first to meet Claude from Anthropic

 Closing of Registration

Welcome to the 7 days of creation with TOP model on the market! We will start with intro from lablab.ai team!

Hackathon Opening

We will dive into the rules to get an access to Anthropic. Stay tuned!

Rules and API access

The tech overview on the Claude AI Assistant and tech tutorials recommendations for you.

Meet Anthropic's Claude

We will go through profile creation, team formation, communication with Mentors and more.

Getting around Discord and the Platform

Join OpenVoice Channel for Mentorship session about business strategy, bringing first users, fin strategy and more.

Mentor Session: Pawel Czech

Hurry up! That's the last time to be able to get access to Claude AI Assistant!

Deadline to submitting access form

It's the deadline to submit your projects!

The time is OVER!

using long context to do a lot of prompting

long long int

wdli

In the rapidly progressing world of large language models (LLMs) like GPT-4, the art of crafting effective prompts is crucial for harnessing their potential. However, the dynamic nature of LLM research presents a challenge: keeping up with the continuous influx of new prompting techniques. This is where our project, the "Prompt Consultant", steps in.

The Prompt Consultant aims to guide users in generating more effective prompts, not by having them chase the latest research, but by leveraging the power of the LLMs themselves. We exploit the LLM’s capacity to assimilate the best prompting resources and provide insights for improving prompts. The challenge is that LLMs, due to their static training data, are not aware of the latest prompting tricks. Our solution is to use in-context learning, incorporating the most recent prompting resources directly into the prompt.

Anthropic's long-context API is a critical component of this endeavor. It's impractical to train a new model every time a new prompting method emerges, and the versatility of user queries makes common vector search methods insufficient. The long-context API allows us to include extensive relevant prompting information directly in the context.

Our proof-of-concept demo uses the latest resources from learnprompting.org, embedding them in the model’s context. Users can then consult our bot, implemented on Anthropic’s Claude-v1.3-100k model, to enhance their prompts. Our preliminary results show promise, indicating LLMs' potential to stay in step with rapid advancements in their field.

In essence, the Prompt Consultant bridges the gap between the rapid progression of LLM research and practical, effective usage of these models. By leveraging the LLMs themselves, we aim to make these technologies more accessible, democratizing the benefits of AI research. Our project foresees a future where anyone, regardless of their expertise, can generate high-quality outputs from these models through optimized prompting.

Prompt Consultant leverages large language models to guide users in crafting effective prompts, using Anthropic's long-context API. This democratizes AI, enabling new AI developers to produce high-quality outputs with the latest prompting techniques.

"long long int team on Anthropic AI Hackathon Hackathon"

Team Idea

Submission