Suchismita SahuLLM Monitoring and Observability — A Summary of Techniques and Approaches for Responsible AISeemingly overnight every CEO to-do list, job posting, and resume includes generative AI (genAI). And rightfully so. Applications based on…1d ago1d ago
Suchismita SahuCI/CD and AI Observability: A Comprehensive Guide for DevOps TeamsTable of Contents1d ago1d ago
Suchismita SahuMastering LLMOps: Deploy, Manage, and Scale Large Language Models on AWSLarge Language Model Operations (LLMOps) refers to the practices, processes, and tools involved in deploying, managing, and scaling large…3d ago3d ago
Suchismita SahuHow to Evaluate LLM Applications: The Complete GuideChatGPT, the leading code generator, has soared in popularity over the past year thanks to the seemingly omniscient GPT-4. Its ability to…3d ago3d ago
Suchismita SahuAn Introduction to LLM BenchmarkingEach model, big or small, shares a common goal: to master the art of language, excelling in tasks like summarization, question-answering…3d ago13d ago1
Suchismita SahuLLM Evaluation Metrics: The Ultimate LLM Evaluation GuideAlthough evaluating the outputs of Large Language Models (LLMs) is essential for anyone looking to ship robust LLM applications, LLM…Oct 30Oct 30
Suchismita SahuUsing LLMs for Synthetic Data Generation: The Definitive GuideConstructing a large-scale, comprehensive dataset to test LLM outputs can be a laborious, costly, and challenging process, especially if…Oct 30Oct 30
Suchismita SahuLLM Benchmarks Explained: Everything on MMLU, HellaSwag, BBH, and BeyondJust earlier this month, Anthropic unveiled their latest Claude-3 Opus model, which was preceded by Mistral’s Le Large model a week prior…Oct 30Oct 30
Suchismita SahuThe Five Pillars of Trustworthy LLM TestingThere are multiple factors used in evaluating overall LLM performance, which is not just limited to the hot topic of hallucinations. LLMs…Oct 261Oct 261