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jpdelatorre

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This video was very informative and clear for a beginner like me who is curious about AI and ML. I'd like to learn more about how to finetune llama for different tasks and domains. Does anyone have any recommendations for resources that explain this concept in a simple way and gradually introduce the technical details and tools required?

Rocket Homes | Senior Frontend/Backend/Full-stack | Full-time | Remote (US & Canada)

Rocket Homes is a tech-driven company with a passion for simplifying real estate. Our mission is to create a seamless home buying and selling experience by combining the process of searching for homes, connecting with a trusted real estate agent and getting a mortgage. Rocket Homes is part of Rocket Companies (publicly traded company - RKT) which includes Rocket Mortgage, Rocket Loans and few others. Headquartered in Detroit, MI with offices in Toronto, ON.

Website: https://www.rockethomes.com/

We're looking for strong JS/Typescript devs (frontend or backend).

Tech stack:

- Frontend (Node, Express, React with SSR, Redux, TailwindCSS)

- API (Node, Express, Elasticseach, AWS)

I'm one of the frontend devs. Email me your CV or if you have any questions - johndelatorre@rockethomes.com

Job posting

- https://www.myrocketcareer.com/ShowJob/JobId/451791/SeniorFr...

- https://www.myrocketcareer.com/ShowJob/JobId/451792/BackEndD...

Here's an idea... how about instead of using just one search engine website, browsers will have a functionality that allows you to search for something and have it query to 3 different search engine at the same time? Users can configure which 3 search engine he/she wants to use. That way, website owners won't be so affected when one search engine screwed him up.

.mail app 14 years ago

Google Wave tried to fix that problem but with the radical change in the way we use email, it failed.