Blog Insights
Fine-Tuning Can Wait: What Enterprise GenAI Really Needs
In this blog post, we challenge the traditional model-centric approach to enterprise AI, arguing that data-centric and system-centric strategies are often more effective. It explores how focusing on data quality and robust system design can lead to faster results, greater scalability, and more reliable outputs compared to constantly pursuing cutting-edge models. Learn why fine-tuning might not be the first step, and discover the key to successful, real-world GenAI implementations.
Agentic AI Analytics: How to use an LLM to make sense of your data
In this post we combine the learnings of two previous Technically Speaking videos in order to build an AI driven analytics chatbot
Codebeamer and AI: A Match Made in Requirements Heaven
We dive into the world of requirements management and how we've combined ALM tools like Codebeamer with AI to streamline this critical process
Navigating Agentic AI Reasoning: ReAct vs ReWOO
Comparing two approaches to implementing agentic AI reasoning ReAct and ReWOO
Turning RAG to Riches: The Golden Metrics of Metrics-Driven Development
We explore the key metrics powering our Metrics Driven Development (MDD) process for Generative AI solutions. This approach helps build trust, improve effectiveness, and tailor AI applications to specific business needs, ultimately leading to successful production deployment.
Building AI You Can Trust
We introduce the concepts around RAG AIs and MDD and discuss how we've made use of it here at Source Allies and with our partners