Alex Reibman 🖇️ Profile picture
Co-founder/CEO https://t.co/xOANj2YgDR @agentopsai Vibes @cerebral_valley Checks https://t.co/7GjxnkUotw

May 31, 2024, 10 tweets

Mistral is France’s answer to OpenAI. And it’s all open source.

They just threw Paris’s largest ever AI hackathon. 1,000+ hackers applied to build what’s possible with open source LLMs.

Here are the finalists from the @MistralAI x @cerebral_valley hackathon in Paris (🧵):

1/ ArxFlix

Turn any research paper into a @twominutepapers style video. Complete with diagrams, text explanation, and voice

🥈2nd place fine-tuning award

2/ Microcosm

@websim_ai-style simulator of a virtual world with live news feeds, stock markets, a simulated Wikipedia, and Twitter agents

Create entire virtual world simulations with a single prompt (and in the style of Windows 95)

@onetwoval

3/ BREAKING BAD

Fine-tuned mistral chemcrow-based agent framework for medical chemists
- 1 mistral 7b fine tune on molinstruction dataset
- 1 mistral 7b fine tune on custom generated dataset on high quality chemical procedure instructions

Chat to update drug proteins

4/ LeChatOn

Visual RAG for videos. Chat with infinitely long videos by identifying objects captioned with visual large language models (VLLMs)

🥇1st place application prize

5/ Matou Garou

AI agent simulation mafia game where users have to distinguish who is the AI

Comes paired with a huggingface dataset to create a leaderboard for distinguishing humans from AI

🥈2nd place application prize

6/ Eyestral

Co-upcycled mixture of experts model (CuMo) that beats LLaVA and works on video

Fine-tuned on the VizWiz dataset for the visually impaired

🥇1st place fine tuning prize

7/ Smol

Direct preference optimization on LLM outputs to train smaller models on desired tasks without the need for a dataset

Pipeline for prompting LLMs and passing it to HuggingFace DPOTrainer, then selecting the worst-ranked examples to generate more data from the big LLM

8/ Remi

Fine-tuned Mistral grocery list organizer that outperforms GPT-4o in terms of clustering items and organizing tables

Thanks to judges @sophiamyang @GuillaumeLample @arthurmensch @Ag_Mlynarczyk @jorn_lyseggen @ZoeMohl

+ @MistralAI @weights_biases @nebiusofficial @balderton @joinstationf @neondatabase @phospho_app @awscloud @SnowflakeDB

Looking for AI agents? Follow @AgentOpsAI @AlexReibman

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