sourcelabs
Joined 4 years ago
Joined 4 years ago
> Claude offers fast inference, GPT-3.5-level accuracy, more customization options for large customers, and up to a 100k context window (though we’ve found accuracy degrades with the length of input).
People that have contributed on the project thus far each have at least a decade of experience programming in Ruby. We’re trying our best to build an abstraction layer on top all of the common emerging AI/ML techniques, tools, and providers. We’re also focusbig on building an excellent developer experience that Ruby developers love and have gotten to expect.
Unlike the Python project, as it’s been pointed out here a countless number of times, we’d like to avoid deeply nested class structures that make it incredibly difficult to track and extend.
We’ve been pondering over the “what does Rails for Machine Learning look like?” question, and we’re taking a stab at answering this question.
We’re hyper-focused on the open source community and the developer community at large. All feedback/ideas/contributions/criticism are welcome and encouraged!
Location: St Louis, MO
Remote: Yes
Willing to relocate: Yes
Technologies: Ruby, Rails, Node.js, Python, JavaScript, Databases, AWS
Skills: Software Development, Product Development, Engineering Leadership, Change Management, Product Strategy, Budgeting, Recruiting & Hiring, Technical Sales, Software Development Life Cycle, Critical Thinking and Problem Solving
Résumé/CV: https://drive.google.com/file/d/1wkwxJt-08m1zUXMXO8TX1E6igIWcXX8V/view?usp=sharing
Email: [email protected]
Seeking: An engineering leadership (Engineer Manager/Director of Engineering/Head of Engineering) role at a fast growing early-to-mid stage company.
Shameless plug: For fellow Ruby-ists we're building an orchestration layer for building LLM applications, inspired by the original, Langchain.rb: https://github.com/andreibondarev/langchainrb