# Mistral Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/mistral
> Markdown URL: https://aitinkerers.org/technologies/mistral.md
> Technology record last updated: 2026-02-24T08:38:36Z
> Generated: 2026-09-22T20:42:56Z

Frontier AI models (LLMs) from Paris: delivering top-tier performance and efficiency through open-source innovation and optimized architecture.

Mistral AI is the Paris-based frontier AI startup, founded in April 2023 by ex-Google DeepMind and Meta researchers (Arthur Mensch, Guillaume Lample, Timothée Lacroix). We challenge opaque 'big AI' with a mission to democratize advanced models: focusing on open-source, efficiency, and performance. Our technology, including the 123B parameter Mistral Large 2 and sparse Mixture of Experts (MoE) architecture, consistently delivers state-of-the-art results at significantly lower costs. We provide enterprise-grade solutions (Mistral AI Studio, Le Chat) for custom deployment, fine-tuning, and full data control. We are scaling fast: a $14 billion valuation confirms our position as a global leader in accessible, powerful generative AI.

- Official technology site: https://mistral.ai
- Public AI Tinkerers demos and talks: 24
- Result page: 1 of 1

## Recent Public Talks and Demos

### [AI Engineer Kids Day — Hands-on AI, Coding and Emerging Tech for Ages 9–15](https://paris.aitinkerers.org/talks/rsvp_vzUScVFw9t0)

AI Engineer Kids Day is a hands-on learning experience for kids aged 9–15, built around two parallel technical workshops led by Cassandra Chin and Henry Collie, Technical Curriculum Developer at Neo4j. Cassandra Chin will lead a hands-on AI gaming workshop where participants use Mistral and Godot to build and customize a simple video game, then connect it to an MCP server that tracks scores. Henry Collie will lead Phippy’s AI Friend, a workshop where participants help Phippy the giraffe on a rescue mission while wiring sensors on a breadboard and writing simple code with an Arduino Nano. Along the way, they explore foundational concepts behind how modern applications run and communicate. Both workshops are designed for beginners and make AI, coding, connected systems, and modern software concepts accessible through practical building. The workshops will be accessible in both English and French. We are currently recruiting volunteers to help provide live interpretation between the two languages so that children and parents can participate comfortably regardless of their preferred language.

- Event context: AI Engineer Kids Day — Paris (Ages 9–15) — 2026-09-20 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_vzUScVFw9t0

### [Silent Notetaker: no backend, no account, no upload](https://columbus.aitinkerers.org/talks/rsvp_2_Cj7Fhun3Y)

Silent Notetaker is a meeting notetaker that runs entirely in the browser: it transcribes the conversation live, pulls out decisions, action items, and open questions as they happen, with no audio ever leaving the machine. The whole app is a single HTML file, no backend and nothing to sign into. I'll demo it live with a real mic: transcription and speaker labels appearing in real time, notes self-categorizing, and an on-device LLM suggesting the next question to ask. Then review architecture (how the speech model, the speaker model, and the question model share one machine without fighting each other), show the single-file source for people to try out, modify and make it their own.

- Event context: AI Tinkerers - Columbus June Meetup — 2026-06-01 — Columbus
- Public talk page: https://columbus.aitinkerers.org/talks/rsvp_2_Cj7Fhun3Y

### [Bugtrace AI: Building the First Deterministic Agentic Framework for Reliable Web Pentesting](https://hong-kong.aitinkerers.org/talks/rsvp_pv9QZncWqV0)

Bugtrace AI is the first deterministic Agentic AI framework specifically engineered for automated web pentesting.

- Event context: AI Tinkerers Hong Kong at AWS: Agentic AI in Action (April) — 2026-04-29 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_pv9QZncWqV0

### [KickBench - Can LLMs predict Bundesliga games?](https://bremen.aitinkerers.org/talks/rsvp_X3CJBTY3YUk)

I let LLMs with a very generic prompt and a websearch tool predict bundesliga matches and then rate the predictions based on real game results. For every prediction of every LLM I save the full trace, so that I can compare what different models search for or how different models reason about bundesliga games.

- Event context: AI Tinkerers Bremen — 2026-03-25 — Bremen
- Public talk page: https://bremen.aitinkerers.org/talks/rsvp_X3CJBTY3YUk

### [Stop Wasting Time Giving AI Context It Should Already Have](https://prague.aitinkerers.org/talks/rsvp__P7J5gqyEG8)

Every time you open an AI chat, you start from zero. Re-explaining what you're working on, pasting in links, setting the scene. MemoryLane fixes that. It quietly watches your screen, understands what you're doing, and gives your AI tools that context through MCP. I'll walk through the full system live: how we capture your activity without killing your machine, how we turn pixels into searchable meaning, and how the MCP server is designed so AI assistants ask smart questions about your actual workflow. By the end, I'll ask Claude what I was doing during the talk - and it'll know.

- Event context: ❄️ AI Tinkerers Prague – February Meetup — 2026-02-19 — Prague
- Public talk page: https://prague.aitinkerers.org/talks/rsvp__P7J5gqyEG8

### [AI Music Video in 5 minutes](https://london.aitinkerers.org/talks/rsvp_-YlHX_A6hjI)

I will go from idea to a completed minute long music video in 5 minutes using an AI video production platform I'm working on: Story Machine (https://storymachine.ai). Here is my latest speedrun which clocks in at 8 minutes: https://youtu.be/68X1H2am9D8 As you can see from the video I can talk and work at the same time.

- Event context: AI Tinkerers x MongoDB - Demopalooza — 2025-10-07 — London
- Public talk page: https://london.aitinkerers.org/talks/rsvp_-YlHX_A6hjI

### [Turning Spreadsheets AI Native](https://london.aitinkerers.org/talks/rsvp_M86M8841Uus)

I will be presenting a spreadsheet application with AI native features. Think of it like if Lovable and Excel had a baby. The demo will revolve around creating financials depicting if the business models of Lovable and Cursor can sustain over time with unlimited messages.

- Event context: AI Tinkerers x MongoDB - Demopalooza — 2025-10-07 — London
- Public talk page: https://london.aitinkerers.org/talks/rsvp_M86M8841Uus

### [Agentic AI in Action – Building Multi-Step Decision-Making AI Agents with LangGraph](https://pune.aitinkerers.org/talks/rsvp_fSmJM9LqFwk)

2025 is the year of Agentic AI — where LLMs don’t just answer questions, they think, plan, and act. In this session, I’ll demonstrate how to build an AI agent that can reason, decide, and execute multi-step workflows using LangGraph and open-source LLMs. We’ll cover: Why Agentic AI is the next leap beyond chatbots Architecting stateful decision flows with LangGraph Live demo: An AI financial analyst that fetches data, analyzes it, and produces an actionable report — all autonomously.

- Event context: AI Tinkerers Pune - Meetup — 2025-08-23 — Pune
- Public talk page: https://pune.aitinkerers.org/talks/rsvp_fSmJM9LqFwk

### [DevOps Meets AI: Multi-Agent Incident Resolution in Minutes, Not Hours](https://hamburg.aitinkerers.org/talks/rsvp_CgDF8DKg9Jw)

I will demo Hyground, our AI copilot for DevOps that resolves critical incidents in minutes instead of hours. The session will cover a live interaction with our tool, while talking about its architecture and how it provide the output shown in the interaction (i.e., multi-agent LLM design, the data-flow and integrations)

- Event context: AI Tinkerers Hamburg #3 - August 14 — 2025-08-14 — Hamburg
- Public talk page: https://hamburg.aitinkerers.org/talks/rsvp_CgDF8DKg9Jw

### [Benchmarking 100 LLM Inference Engine Configurations](https://nyc.aitinkerers.org/talks/rsvp_XcK5R374aSw)

I will present stopwatch, an open source tool we built for benchmarking LLM inference engines (vLLM, SGLang, TRT-LLM) quickly -- both iteratively and massively in parallel. Time permitting, I will also show a few benchmark results that might be of interest.

- Event context: How It’s Made: Architecting Planning-Based AI Systems ft. AI21 Maestro — 2025-05-19 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_XcK5R374aSw

### [Inbox_Voice - Email Client with Voice](https://paris.aitinkerers.org/talks/rsvp_FOHohAndw6o)

I've built an email overlay on top of Gmail that enables you to filter through your inbox rapidly, has a Kanban board feature, and enables you to interact with emails with voice for quick answers while passing it through an llm for optimized formatting. I'll do a live demo of the features around dictation, passing the speech to text through the LLM and formatting an email answer on the context + prompt guidelines. Will show usability features built into the product.

- Event context: AI Tinkerers - Paris Meetup on May 15th — 2025-05-15 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_FOHohAndw6o

### [Pinpoint your customer issues](https://seattle.aitinkerers.org/talks/rsvp_SWDVFOvBtd8)

Software is not perfect; there are bugs and issues present. It is a race to find the bugs and fix them asap. At startups with meager resources, it is far more important to find issues faster and have tooling to fix the issues. Simplifying the workflow frees up time for founders and engineers. We will show you how you can use your existing traces to narrow down to issues for you to fix.

- Event context: AI Tinkerers Seattle - March Meetup — 2025-03-28 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_SWDVFOvBtd8

### [finciples (Financial Principles)](https://atlanta.aitinkerers.org/talks/rsvp_p2W3F8vxAFU)

finciples.ai: An AI-powered platform that enhances investment decisions by combining traditional market analysis with personalized, principles-based insights from legendary investors. This unique platform offers, • Analysis based on the investment philosophies of Warren Buffett, Peter Lynch, Ray Dalio, and more. • The ability to incorporate your own custom investment principles and checklists. • Integration of traditional fundamental, technical, and sentiment analysis. • Personalized recommendations based on data and investment principles. • Educational resources to help investors learn from successful strategies. • AI-powered application of these principles using multiple LLMs, including OpenAI, Llama, Mistral, Gemini and others • Incorporates AI frameworks including Langchain, Langflow and Crew AI and RAG patterns

- Event context: AI Tinkerers Atlanta January Meetup — 2025-01-23 — Atlanta
- Public talk page: https://atlanta.aitinkerers.org/talks/rsvp_p2W3F8vxAFU

### [feynChat: Lessons from Building an AI Assistant with Models from OpenAI, Google, Meta, Mistral, Anthropic etc...](https://bengaluru.aitinkerers.org/talks/rsvp_z1okw4T6PmM)

I'll demo feynChat, an AI assistant available on web, and in the next few days, the App Store and Playstore ,we built that integrates multiple language and image models. I'll share the challenges and insights from this process, highlighting what worked and what didn't. Then, I'll show how feynChat will, in the future, perform real-world tasks like ordering food using ONDC APIs, giving a glimpse into the practical future of AI assistants.

- Event context: AI Tinkerers - Bengaluru - January Meetup — 2025-01-23 — Bengaluru
- Public talk page: https://bengaluru.aitinkerers.org/talks/rsvp_z1okw4T6PmM

### [Modelos en local, inferencia y algo más](https://manizales.aitinkerers.org/talks/rsvp_2dCFDUmqxko)

En esta demostración exploraremos cómo desplegar y optimizar modelos de lenguaje (LLMs) en hardware local, enfocándonos en estrategias prácticas de inferencia para máxima eficiencia. Demostraremos la implementación de modelos como Ollama, Groq y otros frameworks, incluyendo técnicas de cuantización, optimización de memoria y batching para lograr latencias bajas y throughput alto en sistemas locales. Se incluirán benchmarks reales y comparativas de rendimiento.

- Event context: 🏔️ ¡Décimo Encuentro de AI Tinkerers Manizales! — 2025-01-22 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_2dCFDUmqxko

### [Teaching Generative AI to K-12 Students](https://seattle.aitinkerers.org/talks/rsvp_hH1rzLAN0ak)

In this demo, I'll showcase the work we've been doing at Code.org, creating a Generative AI curriculum for students (due for release end of Oct). The demo will show how students can use Code.org to explore SLMs (Mistral), select different fine-tuned models, learn about system prompts, temperature, model cards, RAG, and other aspects of Generative AI. I'll also cover how we've implemented a "guard LLM" to ensure a safe student experience in the classroom.

- Event context: AI Tinkerers - Seattle - October 2024 Meetup — 2024-10-25 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_hH1rzLAN0ak

### [Artifacts by E2B: Open-source Claude Artifacts that runs on your laptop.](https://paris.aitinkerers.org/talks/rsvp_0bmjwxriAYs)

How we built a self-hosted, open-source alternative to Claude Artifacts, powered by Next.js, Vercel AI SDK, E2B, Ollama and Mistral.

- Event context: AI Tinkerers - Paris Inaugural Meetup featuring Mistral AI — 2024-09-03 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_0bmjwxriAYs

### [Run Local, open source AI](https://singapore.aitinkerers.org/talks/rsvp_xdg42kFlb9w)

We're AI tinkerers passionate about local, open source AI. We'll demo how you can run popular open source AI models like Llama3, Mistral and Gemma on your own laptop with Jan.ai and Cortex.so.

- Event context: AI Tinkerers Singapore: Inaugural Meetup - August 2nd, 2024 — 2024-08-02 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_xdg42kFlb9w

### [Fine-tuning LLMs to generate dad jokes](https://berlin.aitinkerers.org/talks/rsvp_C-oPmXiOg7M)

If you've ever tried to ask ChatGPT to make a dad joke, you most probably know how flat and boring such jokes are. To make the world a better place we trained an experimental llama2/llama3/mistral LLM to generate a dad joke punchline to any prompt you give based on a vast collection of training data we found on Reddit.

- Event context: Ollama & Friends coming to AI Tinkerers Berlin — 2024-07-18 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_C-oPmXiOg7M

### [The AI Gateway Pattern](https://bengaluru.aitinkerers.org/talks/rsvp_C7fphZntHeI)

AI developers no longer only use OpenAI models, but actively experiment and ship Anthropic, Llama, Mistral, and other open source models. Majority of these LLMs are also generally not 100% reliable - they have rate limits, 3-4% downtime, inexplicable 500/400 errors, and more. This is why a new category of "AI Gateway" is emerging that can provide interoperability & reliability layer between different models/providers. Cloudflare, Kong, AWS, Databricks are some companies that have jumped into this, along with newer players like Portkey, Litellm, Martian, BricksAI. At Portkey, we have been exploring this space for quite a long time, and launched our open source Gateway this January (5k Stars now). The project is completely open source, MIT-licensed, and has 20+ contributors now. The talk will focus on answering questions around: - Some thoughts around how we chose the AI Gateway pattern to solve for interoperability and reliability - Our experience of scaling the same Gateway to billions of tokens daily and the new challenges that come with it - Building and scaling a popular open source project

- Event context: AI Tinkerers Bangalore - July - RSVP REQUIRED — 2024-07-05 — Bengaluru
- Public talk page: https://bengaluru.aitinkerers.org/talks/rsvp_C7fphZntHeI

### [Building low latency AI agents](https://toronto.aitinkerers.org/talks/rsvp_otDVTPoEsuI)

OpenAI plans to launch support for GPT-4o's new audio and video capabilities to a small group of trusted partners in the API in the coming weeks. The company I work for has the capabilities for the audio part. I can work on building something similar to showcase the audience how they can have something similar even without being a part of the small group of trusted OpenAI partners and using different open-source tools, such as LLaMA, Mistral, etc.

- Event context: AI Tinkerers - Toronto - May 2024 Meetup — 2024-05-30 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_otDVTPoEsuI

### [Simulate your customer base](https://zurich.aitinkerers.org/talks/rsvp_irZb5p4MdRM)

Based on initial consumer data we create digital twins of consumers by fine-tuning open-source models (Mistral, Llama) to let you iterate on your customer base.

- Event context: AI Tinkerers Zurich - May 8 — 2024-05-08 — Zürich
- Public talk page: https://zurich.aitinkerers.org/talks/rsvp_irZb5p4MdRM

### [Llama 2 vs Mistral (vs. GPT-3.5, OpenHermes 2.5, and Zephyr): comparing fine-tuning performance](https://seattle.aitinkerers.org/talks/rsvp_JEcbG9jVOfw)

We've run a bunch of benchmarks of fine-tuned open-source models and compare them head to head. These include the strongest base models (Llama 2 and Mistral) as well as several open-source instruct-tuned variants that have made a splash recently like OpenHermes 2.5 and Zephyr. We also have evaluated against fine-tuning OpenAI GPT-3.5 itself, and gotten some surprising results!

- Event context: AI Tinkerers Seattle - December Meetup — 2023-12-13 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_JEcbG9jVOfw

### [Open Source LLM Finetuning OR Hosting Llama / Mistral For $10/month with multi-lora serving](https://berlin.aitinkerers.org/talks/rsvp_GYfKXdF6R9E)

We went through YC's S23 batch and are building a platform for fine-tuning and serving open source LLMs. In general, we can tell a lot about the open source LLM landscape, which ones are currently the best ones available, and why we believe that in the long term, open source LLMs can win against OpenAI (we did not even believe this ourselves a month ago, but some interesting developments took place during the last weeks that changed our mind). To dive deeper into our product and tech, we could talk about two things: 1) how fine-tuning works, and how it improves model performance 2) how we are able to host finetuned models for as little as $10 per month by hosting lora adapters in parallel

- Event context: AI Tinkerers Berlin - November 24 — 2023-11-24 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_GYfKXdF6R9E

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