Improve LLM Performance by Maximizing Iterative Development
Build, Improve Performance, and Productionize your AI Application. I have been working in AI space for a while now, first at FAANG with ML since 2021, then with LLM in start-ups since early 2023.
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Create-LLM
github.comTrain your own LLM in 60 seconds
We've developed a way to make AI coding actually work by systematically identifying and fixing places where LLMs typically fail in full-stack development.
Relari
news.ycombinator.comAuto Prompt Optimizer as Lightweight Alternative to Finetuning
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
RL Agent that can auto-optimize your LLM prompts
nomadic-ml.github.ioAlong with my team, I've developed a reinforcement learning system that automatically optimizes LLM prompts, complete with a visualization feature to track both prompt structure and learning progress over time.