Blue: Designing “Agentic for Enterprise”
How can enterprise systems evolve to support agentic workflows? In this post, we explore the conceptual foundations of Blue—a framework designed to integrate AI agents, data, and services into scalable, observable, and controllable enterprise applications.
Beyond the Single Document: Advancing Multi-Document Reasoning with LLMs
We present three new papers that tackle a pressing and underexplored topic in NLP: multi-document reasoning. These works offer rigorous benchmarks, novel methodologies, and empirical insights into how large language models (LLMs) handle complexity across multiple sources of information.
Blue v0.9: “Agentic” for the Enterprise!
We present Blue v0.9, our open-source framework for building and deploying agentic workflows in enterprise environments. Unlike conventional AI frameworks, Blue is designed with enterprise-scale requirements in mind—scalability, observability, configurability, and seamless integration with existing infrastructure.
Rethinking Ranking: Introducing Multi-Conditional Ranking (MCR) with LLMs
With the MCRank benchmark and our EXSIR method, we’ve shown that LLMs can significantly improve their performance on these challenging tasks when guided by structured reasoning.
EMNLP 2024 Highlights
Megagon Labs has curated this blog post to spotlight key developments in agentic systems, AI safety, and human-centered AI.
Optimizing Compound AI Systems
We echo through this blog that the optimization framework for compound AI systems should achieve broader goals such as multi-objective (accuracy, cost, latency, etc.), multi-plan optimization and also handling constraints, especially the budget. Again, these optimization goals are not comprehensive by far but are important for enterprise scenarios.
AmbigNLG: A Tutorial
AmbigNLG tackles ambiguity in Natural Language Generation (NLG) instructions by identifying unclear specifications and refining them for better output quality.
Your Internship in the AI Industry: A Student’s Guide
Use this guide to learn valuable tips to maximize your AI internship experience and walk out with more than just a line item on your resume.
Megagon Labs Summer 2024 Internship Experience
Through this inside peek at our internship program, explore the types of projects we at Megagon Labs formulate for our interns. If you are looking to start an internship soon, take their advice and apply it to your own internships.
NAACL 2024 Highlights & Big Trends Shaping NLP
Drawing from our experience at the NAACL conference, the Megagon Labs team has crafted this blog post to highlight three major trends: targeted evaluation, reasoning, and fine-tuning/RAG. These trends represent significant advancements in the field of NLP and showcase the innovative approaches researchers are taking to enhance the capabilities of LLMs.
