Install your own private chatGPT (with private data) with Helix.ml! 😃
Sign up if you'd like to participate in this free 2-part interactive workshop online!
(Link to this site http://bit.ly/helix-workshops).

Requirements:
* Linux, macOS, or Windows
* Ability to install Docker
* 4 CPUs, 8GB RAM and 50GB+ free disk space
* A fast internet connection
* NVIDIA GPU not required for part 1 of the workshop
* Let us know if you don’t have any of the above! → DX@helix.ml

Getting help:
* Slack (MLOps Community) https://gatewaze.mlops.community/#email --> #helix

Plan ahead! You'll have a better experience by completing these steps ahead of time:
1. Install Docker Desktop: https://docs.docker.com/desktop/get-started/ (homebrew option: https://formulae.brew.sh/formula/docker) Note: make sure that you’re logged in to your docker account
2. Install Ollama Server https://ollama.com/ (homebrew options: https://formulae.brew.sh/formula/ollama
3. Download Ollama Model
> ollama pull llama3:instruct

Workshop Part 1 (1 hour):
* Intro to GenAI terminology and concepts
* Install a private “chatGPT” from on your laptop via Helix.ml! (source available)
* Practice loading private sample data/sample APIs
* Some inference and fine-tuning practice

Workshop Part 2 (1 hour)
* Install a private "chatGPT" using your own GPUs
* Try more models and capabilities with GPUs
* Deep dive with your own data (private sessions available).
* Deep dive with your API needs.
* Learn best practices for image models, fine-tuning, etc
* Learn about future workshops for challenges such as running LLMs on Kubernetes
* Part 2 workshop requirements:
--- a VM (eg. on Digital Ocean, Google, etc.)
--- GPUs (eg. runpod.io)
--- a domain name with access to DNS settings

Any questions? email DX@helix.ml
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