LlamaCast

🔎 Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language ModelsThis paper examines the effectiveness of different prompting techniques and frameworks for miti...

3 Marras 202416min

🌀 Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans WorseThis research paper examines how chain-of-thought (CoT) prompting—encouraging models to r...

2 Marras 202416min

❓Measuring short-form factuality in large language modelsThis document introduces SimpleQA, a new benchmark for evaluating the factuality of large language models. The benchmark consists of over 4,000...

31 Loka 202417min

📜 GPT-4o System CardThis technical document is the System Card for OpenAI's GPT-4o, a multimodal, autoregressive language model that can process and generate text, audio, images, and video. The card ...

30 Loka 202424min

🦜 Mixture of Parrots: Experts improve memorization more than reasoningThis research paper investigates the effectiveness of Mixture-of-Experts (MoE) architectures in deep learning, particularly compa...

29 Loka 202410min

🖼 Improve Vision Language Model Chain-of-thought ReasoningThis research paper investigates how to improve the chain-of-thought (CoT) reasoning capabilities of vision language models (VLMs). The autho...

28 Loka 202415min

🧠 Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive LossThis research paper introduces Inf-CL, a novel approach for contrastive learning that dramatically reduces GPU memo...

27 Loka 202415min

⚖️ Large Language Models Reflect the Ideology of their CreatorsThis study examines the ideological stances of large language models (LLMs) by analyzing their responses to prompts about a vast set of h...

26 Loka 202411min