Apr. 8, 2024: Our new paper introducing LLM Reasoners is available! Mar. 29, 2024: Grace Decoding has been incoporated! Oct. 25, 2023: A video tutorial on the visualizer of LLM Reasoners are available. Oct. 23, 2023: Reasoning-via-Planning is accepted to EMNLP 2023! Check our paper ...
Regardless of the capabilities of our new model, its success as a service will highly depend on the presence of a robust and reliable LLMOps infrastructure.If you are interested in knowing more about MLOps, the tutorialMLOps Fundamentalsis for you! Origin of LLMOps Early LLMs such as GPT-...
SuperBench- a benchmark platform designed for evaluating large language models (LLMs) on a range of tasks, particularly focusing on their performance in different aspects such as natural language understanding, reasoning, and generalization. SuperLim- a Swedish language understanding benchmark that evalu...
DeepEval steps in as a comprehensive and reliable solution to address this need, offering a robust framework for testing LLMs on multiple dimensions, such as accuracy, reasoning, coherence, and ethical alignment. In this tutorial, you will learn how to set up DeepEval and create a relevance ...
Algorithmic opacity is one of the main concerns associated with LLMs. These modes are often labeled as ‘black box’ models because of their complexity, which makes it impossible to monitor their reasoning and inner workings. AI providers of proprietary LLMs are often reluctant to provide ...
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions Active Retrieval Augmented Generation Answering questions by meta- reasoning over multiple chains of thought WebGPT: Browser-assisted question-answeri...
EURUS: A Suite of Large Language Models (LLMs) Optimized for Reasoning, Achieving State-of-the-Art Results among Open-Source Models on Diverse Benchmarks
This article is part of a tutorial series on creating and using custom connectors in Azure Logic Apps, Microsoft Power Automate and Microsoft Power Apps, and using AI-enabled connectors in Microsoft Copilot Studio. Make sure you read the custom connector overview to understand the process. Go to...
Question: What recommendations do you have for people trying to fine-tune Llama? Any best practices you learnt on the field with fine-tuning LLMs? Answer: Fine-tuning Llama is usually a complex task involving data collection, data cleaning and actual fine-tuning. In terms ...
SuperBench- a benchmark platform designed for evaluating large language models (LLMs) on a range of tasks, particularly focusing on their performance in different aspects such as natural language understanding, reasoning, and generalization. SuperLim- a Swedish language understanding benchmark that evalu...