Explores four main approaches to building and enhancing reasoning capabilities in Large Language Models (LLMs) for complex tasks.
A researcher reflects on 2024 highlights in AI, covering societal impacts, software tools like Scikit-learn, and technical research on tabular data and language models.
fast.ai announces a new 'AI-first' course, 'How To Solve It With Code,' and its integration into Answer.AI, focusing on Dialog Engineering for collaborative coding.
Explains how multimodal LLMs work, reviews recent models like Llama 3.2, and compares different architectural approaches.
Explains how multimodal LLMs work, compares recent models like Llama 3.2, and outlines two main architectural approaches for building them.
Explores whether large language models like ChatGPT truly reason or merely recite memorized text from their training data, examining their logical capabilities.
A technical guide on deploying Meta's Llama 3.2 Vision model on Amazon SageMaker using the Hugging Face LLM DLC.
Author judges a Weights & Biases hackathon focused on building LLM evaluation tools, discussing key considerations and project highlights.
A survey of using LLMs as evaluators (LLM-as-Judge) for assessing AI model outputs, covering techniques, use cases, and critiques.
A technical review of the latest pre-training and post-training methodologies used in state-of-the-art large language models (LLMs) like Qwen 2 and Llama 3.1.
A guide to simplifying LLM evaluation workflows using clear metrics, chain-of-thought, and few-shot prompts, inspired by real-world examples.
Introduces MixEval, a cost-effective LLM benchmark with high correlation to Chatbot Arena, for evaluating open-source language models.
HeavyIQ is an AI-powered English-to-SQL interface from HEAVY.AI, using a fine-tuned LLM to query and visualize massive datasets like flight records.
Explains core prompting fundamentals for effective LLM use, including mental models, role assignment, and practical workflow with examples.
A practical guide sharing lessons learned from a year of building real-world applications with Large Language Models (LLMs).
A tutorial on deploying open-source large language models (LLMs) like Llama 3 using the vLLM framework on Hugging Face Inference Endpoints.
A technical guide on fine-tuning the Llama 3 70B model using PyTorch FSDP and Q-Lora for efficient training on limited GPU hardware.
Explores methods for using and finetuning pretrained large language models, including feature-based approaches and parameter updates.
A technical guide on deploying Meta's Llama 3 70B model on Amazon SageMaker using the Hugging Face LLM DLC and Text Generation Inference.
Argues that the term 'Open Source' is misleading for LLMs and proposes the new term 'PALE LLMs' (Publicly Available, Locally Executable).
