TEMPLATE
Generative AI Strategy
After have helped dozens of companies produce GenAI strategies, we put together this template to help you develop your company’s GenAI strategy in just 1-hour.
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REPORT
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LLM Optimization Playbook
Building a demo app with LLMs is easy; deploying them in production is much harder. Prolego's LLM Optimization Playbook outlines 13 optimization strategies and provides clear guidance on when to use them.
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REPORT
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Discover AI Opportunities with Generated Data
Many companies struggle to identify GenAI use cases and gain internal support. In this report we outline a three-step process to showcase use case feasibility using ChatGPT and generated data.
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TEMPLATE
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AI Systems Engineer Job Description
The AI Systems Engineer, an emerging role, is key to your LLM application team. They craft prompts, design interfaces, and bring the soft skills to run experiments. Download and adopt our job description template and signal to the market that you offer a compelling opportunity.
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REPORT
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Conquering LLM Context Constraints
LLMs are limited by context window size, restricting the data they can process per interaction. This report introduces LLM Scratchpads, which uses a dynamic temporary memory model that overcomes these limits, enabling LLMs to handle larger data challenges.
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TEMPLATE
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Prolego Model Data Scientist Job Description
We interviewed over 100 data scientists to understand what they look for in a potential employer. We’ve incorporated our findings into this job description. Feel free to repurpose and use at your company.
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REPORT
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OpenSource LLMs have Higher ROI for Enterprise GenAI
We conducted an ablation study on an LLM Retrieval-Augmented Generation (RAG) to evaluate how models, context, and agents impact its performance.